The prevalent practice of damaging images of the human form—and the anxiety surrounding the desecration—dates to the beginnings of Egyptian history. Intentionally damaged mummies from the prehistoric period, for example, speak to a “very basic cultural belief that damaging the image damages the person represented,” Bleiberg said. Likewise, how-to hieroglyphics provided instructions for warriors about to enter battle: Make a wax effigy of the enemy, then destroy it. Series of texts describe the anxiety of your own image becoming damaged, and pharaohs regularly issued decrees with terrible punishments for anyone who would dare threaten their likeness.

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Two, deciding whether or not your image (and, by exten-sion—since many Instagrammers post images of themselves—your body) has worth. You can base this purely on how many likes it gets, but if you don’t see how many likes other images get, you can’t compare your number of likes to anyone else’s. You can only compete with yourself. As we’ll learn in Chapter 4 when we discuss contrast effect, we avoid making decisions in a vacuum, so if you show us other people’s likes, we’ll be tempted to use them to rate our own value. Removing likes is a step away from making a bad decision about what to compare your image to.

az disk revoke-access Revoke a resource's read access to a managed disk.

Scripts In addition to plug-ins, which are programs written in the C language, GIMP can also make use of scripts. The largest number of existing scripts are written in a language called Script-Fu, which is unique to GIMP (for those who care, it is a dialect of the Lisp-like language called Scheme). It is also possible to write GIMP scripts in Python or Perl. These languages are more flexible and powerful than Script-Fu; their disadvantage is that they depend on software that does not automatically come packaged with GIMP, so they are not guaranteed to work correctly in every GIMP installation.

Channels A Channel is a single component of a pixel's color. For a colored pixel in GIMP, these components are usually Red, Green, Blue and sometimes transparency (Alpha). For a Grayscale image, they are Gray and Alpha and for an Indexed color image, they are Indexed and Alpha. The entire rectangular array of any one of the color components for all of the pixels in an image is also referred to as a Channel. You can see these color channels with the Channels dialog.

Layers If a simple image can be compared to a single sheet of paper, an image with layers is likened to a sheaf of transparent papers stacked one on top of the other. You can draw on each paper, but still see the content of the other sheets through the transparent areas. You can also move one sheet in relation to the others. Sophisticated GIMP users often deal with images containing many layers, even dozens of them. Layers need not be opaque, and they need not cover the entire extent of an image, so when you look at an image's display, you may see more than just the top layer: you may see elements of many layers.

A GIMP image may be quite a complicated thing. Instead of thinking of it as a sheet of paper with a picture on it, think of it as more like a stack of sheets, called “layers”. In addition to a stack of layers, a GIMP image may contain a selection mask, a set of channels, and a set of paths. In fact, GIMP provides a mechanism for attaching arbitrary pieces of data, called “parasites”, to an image.

A procedural database for calling internal GIMP functions from external programs, such as Script-Fu

Full Alpha channel support for working with transparency

Features and Capabilities The following list is a short overview of some of the features and capabilities which GIMP offers you: A full suite of painting tools including brushes, a pencil, an airbrush, cloning, etc. Tile-based memory management, so image size is limited only by available disk space Sub-pixel sampling for all paint tools for high-quality anti-aliasing Full Alpha channel support for working with transparency Layers and channels A procedural database for calling internal GIMP functions from external programs, such as Script-Fu Advanced scripting capabilities Multiple undo/redo (limited only by disk space) Transformation tools including rotate, scale, shear and flip Support for a wide range of file formats, including GIF, JPEG, PNG, XPM, TIFF, TGA, MPEG, PS, PDF, PCX, BMP and many others Selection tools, including rectangle, ellipse, free, fuzzy, bezier and intelligent scissors Plug-ins that allow for the easy addition of new file formats and new effect filters.

Относно имунологичен тест за SARS CoV2 Чрез тази система регистрирани лаборатории в България могат да въвеждат данните от резултатите от бързите тестовете за антитела, които правят. Освен броят тестове, те въвеждат и резултатите за Имуноглобулин G (IgG / ИгГ) и за Имуноглобулин М (IgM). В системата ще могат да се въвеждат и тестове за антиген (PCR тестове). Благодарение на въведените данни ще може да се локализира разпространението на вируса по градове и региони, както и конкретни лаборатории със завишен брой положителни тестове.

a black software developer embarrassed Google by tweeting that the company’s Photos service had labeled photos of him with a black friend as “gorillas.”

Fortunately, the latest-model iPhones feature camera resolutions up to 12 MP; and DSLR cameras often feature 18 MP and up, so you don’t need to be a professional photographer to start with a high-resolution image.

Another name for 7.2 million pixels is 7.2 megapixels (MP); which means you’ll need a minimum 7.2 MP camera to get the best resolution for your 8” x 10” photo.

You can multiply both 8 and 10 by 300 to get the full pixel dimensions of the finished image. 8(300) X 10(300) = 2,400px X 3,000px You can multiply both 8 and 10 by 300 to get the full pixel dimensions of the finished image. 2,400 X 3,000 = 7.2 million pixels

What is the best resolution for printing? What resolution should photos be for printing? What should DPI (or PPI) be for printing high-quality artwork? In many cases, the best resolution for printing is 300 PPI.

Often, PPI and dots per inch (DPI) are used interchangeably; however, PPI and DPI are not identical. Though they are similar, PPI refers to the pixels per inch on your computer screen, while DPI refers to the ink dots per inch applied by a printing press.

What is image resolution? Image resolution can be defined as the level of detail in an image. Raster images are comprised of a series of pixels, where resolution is the]]> total number of pixels along an image’s width and height]]>, expressed as pixels per inch (PPI).

These Web pages presents a set of examples using ImageMagick ("IM," for short) from the command line. However, they also illustrate what can be done using the ImageMagick Application Programming Interface (API). As such, these pages should be the first stop for IM users after reading the terse Command Line (CLI) Option manuals.

We see that ImageMagick is very good about preserving aspect ratios of images, to prevent distortion of your favorite photos and images. But you might really want the dimensions to be 100x200, thereby stretching the image. In this case just tell ImageMagick you really mean it (!) by appending an exclamation operator to the geometry. This will force the image size to exactly what you specify. So, for example, if you specify 100x200! the dimensions will become exactly 100x200 (giving a small, vertically elongated wizard)

Image Geometry Many command-line options take a geometry argument to specify such things as the desired width and height of an image and other dimensional quantities. Because users want so many variations on the resulting dimensions, sizes, and positions of images (and because ImageMagick wants to provide them), the geometry argument can take many forms. We describe many of these in this section. The image options and settings that take some form of a geometry argument include the following. Keep in mind that some of these parse their arguments in slightly different ways. See the documentation for the individual option or setting for more specifics. ‑adaptive‑resize • ‑border • ‑borderwidth • ‑chop • ‑crop • ‑density • ‑extent • ‑extract • ‑frame • ‑geometry • ‑iconGeometry • ‑liquid‑rescale • ‑page • ‑region • ‑repage • ‑resize • ‑sample • ‑scale • ‑shave • ‑splice • ‑thumbnail • ‑window The geometry argument might take any of the forms listed in the table below. These will described in more detail in the subsections following the table. The usual form is size[offset], meaning size is required and offset is optional. Occasionally, [size]offset is possible. In no cases are spaces permitted within the geometry argument. size General description (actual behavior can vary for different options and settings) scale% Height and width both scaled by specified percentage. scale-x%xscale-y% Height and width individually scaled by specified percentages. (Only one % symbol needed.) width Width given, height automagically selected to preserve aspect ratio. xheight Height given, width automagically selected to preserve aspect ratio. widthxheight Maximum values of height and width given, aspect ratio preserved. widthxheight^ Minimum values of width and height given, aspect ratio preserved. widthxheight! Width and height emphatically given, original aspect ratio ignored. widthxheight> Shrinks an image with dimension(s) larger than the corresponding width and/or height argument(s). widthxheight< Enlarges an image with dimension(s) smaller than the corresponding width and/or height argument(s). area@ Resize image to have specified area in pixels. Aspect ratio is preserved. x:y Here x and y denotes an aspect ratio (e.g. 3:2 = 1.5). {size}{offset} Specifying the offset (default is +0+0). Below, {size} refers to any of the forms above. {size}{+-}x{+-}y Horizontal and vertical offsets x and y, specified in pixels. Signs are required for both. Offsets are affected by ‑gravity setting. Offsets are not affected by % or other size operators. Note that positive X and Y offsets are in the inward direction towards the center of the image for all ‑gravity options, except 'center'. For East, +X is left. For South, +Y is up. For SouthEast, +X is left and +Y is up. For center, the normal X and Y directional convention is used (+X is right and +Y is down). Basic adjustments to width and height; the operators %, ^, and ! Here, just below, are a few simple examples of geometry, showing how it might be used as an argument to the ‑resize option. We'll use the internal image logo: for our input image. This fine image is 640 pixels wide and 480 pixels high. We say its dimensions are 640x480. When we give dimensions of an image, the width (the horizontal dimension) always precedes the height (the vertical dimension). This will be true when we speak of coordinates or offsets into an image, which will always be x–value followed by y. Just think of your high school algebra classes and the xy–plane. (Well, almost: our y–axis will always go downward!) magick logo: -resize '200%' bigWiz.png magick logo: -resize '200x50%' longShortWiz.png magick logo: -resize '100x200' notThinWiz.png magick logo: -resize '100x200^' biggerNotThinWiz.png magick logo: -resize '100x200!' dochThinWiz.png The first of the four commands is simple—it stretches both the width and height of the input image by 200% in each direction; it magnifies the whole thing by a factor of two. The second command specifies different percentages for each direction, stretching the width to 200% and squashing the height to 50%. The resulting image (in this example) has dimensions 1280x240. Notice that the percent symbol needn't be repeated; the following are equivalent: 200x50%, 200%x50, 200%x50%. By default, the width and height given in a geometry argument are maximum values unless a percentage is specified. That is, the image is expanded or contracted to fit the specified width and height value while maintaining the aspect ratio (the ratio of its height to its width) of the image. For instance, the third command above "tries" to set the dimensions to 100x200. Imagine gradually shrinking the original image (which is 640x480), keeping is aspect ratio constant, until it just fits into a 100x200 rectangle. Since the image is longer than it is tall, it will fit when its width shrinks to 100 pixels. To preserve the aspect ratio, the height will therefore have to be (480/640)×100 pixels=75 pixels, so the final dimensions will be 100x75. Notice that in the previous example, at least one of the specified dimensions will be attained (in this case, the width, 100 pixels). The resulting image fits snugly within the original. One can do just the opposite of this by invoking the ^ operator, as in the fourth example above. In that case, when 100x200^ is given as the argument, again at least one of the dimensions will be attained, but in this case the resulting image can snugly contain the original. Here the geometry argument gives minimum values. In our example, the height will become 200 and the width will be scaled to preserve the aspect ratio, becoming (640/480)×200 pixels=267 pixels. With the ^ operator, one of those dimensions will match the requested size, but the image will likely overflow the dimensions requested to preserve its aspect ratio. (The ^ feature is new as of IM 6.3.8-2.) We see that ImageMagick is very good about preserving aspect ratios of images, to prevent distortion of your favorite photos and images. But you might really want the dimensions to be 100x200, thereby stretching the image. In this case just tell ImageMagick you really mean it (!) by appending an exclamation operator to the geometry. This will force the image size to exactly what you specify. So, for example, if you specify 100x200! the dimensions will become exactly 100x200 (giving a small, vertically elongated wizard). Bounding the width, height, and area; the operators >, <, and @ Here are a few more examples: magick logo: -resize '100' wiz1.png magick logo: -resize 'x200' wiz2.png magick logo: -resize '100x200>' wiz3.png magick logo: -resize '100x200<' wiz4.png If only one dimension is given it is taken to be the width. When only the width is specified, as in the first example above, the width is accepted as given and the height is chosen to maintain the aspect ratio of the input image. Similarly, if only the height is specified, as in the second example above, the height is accepted and the width is chosen to maintain the aspect ratio. Use > to shrink an image only if its dimension(s) are larger than the corresponding width and/or height arguments. Use < to enlarge an image only if its dimension(s) are smaller than the corresponding width and/or height arguments. In either case, if a change is made, the result is as if the > or < operator was not present. So, in the third example above, we specified 100x200> and the original image size is 640x480, so the image size is reduced as if we had specified 100x200. However, in the fourth example above, there will be no change to its size. Finally, use @ to specify the maximum area in pixels of an image, again while attempting to preserve aspect ratio. (Pixels take only integer values, so some approximation is always at work.) In the following example, an area of 10000 pixels is requested. The resulting file has dimensions 115x86, which has 9890 pixels. magick logo: -resize '10000@' wiz10000.png In all the examples above and below, we have enclosed the geometry arguments within quotation marks. Doing so is optional in many cases, but not always. We must enclose the geometry specifications in quotation marks when using < or > to prevent these characters from being interpreted by the shell as file redirection. On Windows systems, the carat ^ needs to be within quotes, else it is ignored. To be safe, one should probably maintain a habit of enclosing all geometry arguments in quotes, as we have here. Offsets in geometry Here are some examples to illustrate the use of offsets in geometry arguments. One typical use of offsets is in conjunction with the ‑region option. This option allows many other options to modify the pixels within a specified rectangular subregion of an image. As such, it needs to be given the width and height of that region, and also an offset into the image, which is a pair of coordinates that indicate the location of the region within the larger image. Below, in the first example, we specify a region of size 100x200 to be located at the xy–coordinates x=10, y=20. Let's use the usual algebraic notation (x,y)=(10,20), for convenience. magick logo: -region '100x200+10+20' -negate wizNeg1.png magick logo: -region '100x200-10+20' -negate wizNeg2.png magick logo: -gravity center -region '100x200-10+20' -negate wizNeg3.png Note that offsets always require +/− signs. The offset is not actually a true location within the image; its coordinates must be added to some other location. Let's refer to that as the current location. In the first two examples above, though, that location is the upper-left hand corner of the image, which has coordinates (0,0). (That is the default situation when there are no other directives given to change it.) The first example above puts the 100x200 rectangle's own upper-left corner at (10,20). A negative offset can make sense in many cases. In the second example above, the offset is (-10,20), specified by -10+20. In that case, only the portion of the (virtual) rectangle obtained that lies within the image can be negated; here it is equivalent to specifying the geometry as 90x200+0+20. In the third example above, the ‑gravity setting precedes the others and sets the current location within the image at the very center of the image. In this case that is at pixel (320,240), since the size of the image is 640x480. This means that the offsets apply to that location, which thereby gets moved, in this case, to (320-10,240+20)=(310,260). But the 100x200 region itself is affected by the ‑gravity setting, so instead of affecting its upper-left corner, the region's own center (at (+50,+100) within it) is determined. Therefore the center of the 100x200 rectangle is moved to (310,260). The negated rectangle's upper-left corner is now at (310-50,260-100)=(260,160).

Use ImageMagick® to create, edit, compose, or convert bitmap images. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG. Use ImageMagick to resize, flip, mirror, rotate, distort, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves.

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E-commerce has special requirements when it comes to showing products for sale online. A uniform look and feel to the products, showing the product rather than background, product alignment, image margins and special requirements per product category characterize e-commerce.

<a href="default.asp">  <img src="smiley.gif" alt="HTML tutorial" style="width:42px;height:42px;border:0;"></a>

<img src="https://www.w3schools.com/images/w3schools_green.jpg" alt="W3Schools.com">

If you originally linked the images, you can easily embed one or more of them later if you wish

Surface/Interior Depth-Cueing Depth cues can contribute to the three-dimensional quality of projection images by giving perspective to projected structures. The depth-cueing parameters determine whether projected points originating near the viewer appear brighter, while points further away are dimmed linearly with distance. The trade-off for this increased realism is that data points shown in a depth-cued image no longer possess accurate densitometric values. Two kinds of depth-cueing are available: Surface Depth-Cueing and Interior Depth-Cueing. Surface Depth-Cueing works only on nearest-point projections and the nearest-point component of other projections with opacity turned on. Interior Depth-Cueing works only on brightest-point projections. For both kinds, depth-cueing is turned off when set to zero (i.e.100% of intensity in back to 100% of intensity in front) and is on when set at 0 < n 100 (i.e.(100 − n)% of intensity in back to 100% intensity in front). Having independent depth-cueing for surface (nearest-point) and interior (brightest-point) allows for more visualization possibilities.

Opacity Can be used to reveal hidden spatial relationships, especially on overlapping objects of different colors and dimensions. The (surface) Opacity parameter permits the display of weighted combinations of nearest-point projection with either of the other two methods, often giving the observer the ability to view inner structures through translucent outer surfaces. To enable this feature, set Opacity to a value greater than zero and select either Mean Value or Brightest Point projection.

Interpolate Check Interpolate to generate a temporary z-scaled stack that is used to generate the projections. Z-scaling eliminates the gaps seen in projections of volumes with slice spacing greater than 1.0 pixels. This option is equivalent to using the Scale plugin from the TransformJ package to scale the stack in the z-dimension by the slice spacing (in pixels). This checkbox is ignored if the slice spacing is less than or equal to 1.0 pixels.

Lower/Upper Transparency Bound Determine the transparency of structures in the volume. Projection calculations disregard points having values less than the lower threshold or greater than the upper threshold. Setting these thresholds permits making background points (those not belonging to any structure) invisible. By setting appropriate thresholds, you can strip away layers having reasonably uniform and unique intensity values and highlight (or make invisible) inner structures. Note that you can also use Image▷Adjust▷Threshold… [T]↑ to set the transparency bounds.

Orchestrating the execution of many command line tools is a task for Galaxy, while an analysis of life science data with subsequent statistical analysis and visualization is best carried out in KNIME or Orange. Orange with its “ad-hoc” execution of nodes caters to scientists doing quick analyses on small amounts of data, while KNIME is built from the ground up for large tables and images. Noteworthy is that none of the mentioned tools provide image processing capabilities as extensive as those of the KNIME Image Processing plugin (KNIP).

In conclusion, the KNIME Image Processing extensions not only enable scientists to easily mix-and-match image processing algorithms with tools from other domains (e.g. machine-learning), scripting languages (e.g. R or Python) or perform a cross-domain analysis using heterogenous data-types (e.g. molecules or sequences), they also open the doors for explorative design of bioimage analysis workflows and their application to process hundreds of thousands of images.

In order to further foster this “write once, run anywhere” framework, several independent projects collaborated closely in order to create ImageJ-Ops, an extensible Java framework for image processing algorithms. ImageJ-Ops allows image processing algorithms to be used within a wide range of scientific applications, particularly KNIME and ImageJ and consequently, users need not choose between those applications, but can take advantage of both worlds seamlessly.

Most notably, integrating with ImageJ2 and FIJI allows scientists to easily turn ImageJ2 plugins into KNIME nodes, without having to be able to script or program a single line of code

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R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms

Motif search, calculation of motif activities, and target prediction

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Being from a family of retailers, one of the first things I learned was that the customer is always right. I didn’t understand the importance of that sentiment back then. But looking back, it’s probably the most important lesson I have ever learned.

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The ideal aspect ratio is 3:2. When the image width is 200 pixels, the height should be about 133 pixels. If your height value is substantially different, crop the image to avoid distortion in the thumbnail.

rounded corners and gradients

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”Things can be taught inside of history, not before time, but in time, on time.” (p.222)

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Esempi noti di operatori spaziali sono il filtro media, che calcola la media aritmetica dei pixel all'interno della "finestra" e impone tale valore, e il filtro mediano, il quale invece calcola la mediana statistica.

A case in point is the obliterated text between syððan and þ on fol. 179r10. Any attempt at restoration is complicated by the fact that some of the ink traces, as conclusively shown by an overlay in Electronic Beowulf 4.0, come from an offset from the facing fol. 178v. Digital technology allows us to subtract these false leads and arrive at a more plausible restoration

Petr Pridal, from KlokanTechnologies, Switzerland, gave some insights into Georeferencer, another multi-platform, web based, collections viewer, but specifically designed for the presentation of maps. What makes Georeferencer different is the facility to create anchor points on each map that the user is viewing. This enables each map to move and zoom with the others simultaneously

ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.

Cultural imprinting is the mechanism whereby an ad, rather than trying to change our minds individually, instead changes the landscape of cultural meanings — which in turn changes how we are perceived by others when we use a product. Whether you drink Corona or Heineken or Budweiser "says" something about you. But you aren't in control of that message; it just sits there, out in the world, having been imprinted on the broader culture by an ad campaign.

The initial inputs for deriving quantitative information of gene expression and embryonic morphology are raw image data, either of fluorescent proteins expressed in live embryos or of stained fluorescent markers in fixed material. These raw images are then analyzed by computational algorithms that extract features, such as cell location, cell shape, and gene product concentration. Ideally, the extracted features are then recorded in a searchable database, an atlas, that researchers from many groups can access. Building a database with quantitative graphical and visualization tools has the advantage of allowing developmental biologists who lack specialized skills in imaging and image analysis to use their knowledge to interrogate and explore the information it contains.

They are deeply immersed in illusions and in dream images