51 Matching Annotations
  1. Mar 2019
    1. 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.
  2. static.googleusercontent.com static.googleusercontent.com
    1. Multi-digit Number Recognition from Street ViewImagery using Deep Convolutional Neural Networks

    1. 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.

      We have top class designers who is expert on graphics design. We provide clipping path. background remove, image retouching service. We are also expert on eCommerce photo editing.

  3. Feb 2019
    1. <a href="default.asp">  <img src="smiley.gif" alt="HTML tutorial" style="width:42px;height:42px;border:0;"></a>

      Image as a link - Ignore the style="…." part of the tag. Inline styles are bad!

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

      Image Tag

  4. Jan 2019
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    1. 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).
    2. 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.
    3. 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.
    4. 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
  5. Oct 2018
    1. likewise reward in heaven, victorious recompense in the glory of the skies

      Earthly treasures as an image of heavenly

  6. Sep 2018
  7. Jun 2018
  8. May 2018
    1. You can pull the image on a computer that have access to the internet.

      sudo docker pull ubuntu Then you can save this image to a file

      sudo docker save -o ubuntu_image.docker ubuntu Transfer the file on the offline computer (USB/CD/whatever) and load the image from the file:

      sudo docker load ubuntu_image.docker

  9. Apr 2018
    1. pianoforte

      "A formal term for a piano" (OED). Though, it is smaller than a grand piano. (Metropolitan Museum of Art)

  10. Mar 2018
    1. Szeliski and Shum, 1997

      Creating full view panoramic image mosaics and environment maps, In Proceedings of SIGGRAPH'97, volume 31, pages 251-258 .



  11. www.cad.zju.edu.cn www.cad.zju.edu.cn
    1. 增大视域


      • 相机 FOV = 50x35°
      • 人眼 FOV = 200x135°
      • 全景 FOV = 360x180°
  12. Jan 2018
  13. Sep 2017
    1. 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.

      We have manually analyzed our customer reviews, in-depth interviews and on-site analytics to understand what are the customers need and how to give that to them.

  14. Apr 2017
    1. crinoline

      Crinoline is the name of a stiff fabric made of a mix of threads and horsehair. It is most often used for giving structure to petticoats and is a common lining for garments. Hoop skirts are also referred to as a crinoline, due to the majority of its frame support being comprised of the material. Strips of crinoline would be attached to a starting hoop (normally the top hoop that sits at the waist) with heavy thread, wire, or rope. Subsequent hoops of increasing size could be attached while the crinoline is bent down and outward to achieve a noticeable “bell” shape. Cheaply made frames could be fragile and easily damaged by applying pressure to the structure, making sitting and moving around a constant concern for the wearer. Stronger frames were more expensive, but were also much heavier due to the types of materials used. Where lighter frames could be made of soft wood or leather hoops, others were made of whalebone or steel, making for a very cumbersome garment.

      Moving in one of these stronger frames would be even more difficult, not only does the weight slow down the wearer; the unbending frames often make sitting or even passing through narrow openings nearly impossible. Though certain artisans could make changes and generate more user friendly designs, these crinolines would remain burdensome. Many women began to forgo them for lighter and more open options, sometimes referring to them as cages or weights. There are even notable print and stage parodies of these frames that highlight the bulky nature of the frames. Characters comically bump into others, knock over furniture, get stuck in odd places, or are vain caricatures with impossibly wide frames that match their egos.

    2. Turkish trousers

      “Turkish trousers” are the European name for the culturally adopted Ottoman dimije. Dimije are baggy pants that gather just above the ankle, which aid in dispelling heat with their flowing material and breezy nature. Normally worn by common folk in the areas of Turkey, India, and the Middle East, the European empires had influenced widespread cultural mixing via trade and colonization that brought many new styles back West. Fashion began to shift into being a form of self-expression (more like our modern interpretation of the use of clothing) instead of a marker of class level. Women’s movements took in these new cultural styles in order to address oppression by linking traditional clothing models to ideas of confinement, restriction, and encumbrance. These changes of clothing were like shedding of shackles, they became visual political statements that can be made publicly that could harken to the larger movements passively.

    1. 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.

      I noticed that it's blurry, at least for me, when I use paint for this. Rather, I used my computer's default app; snipping tool, and uploaded it onto http://resizepic.com/ to resize the image into exactly 200x133 pixels and it was not blurry.

  15. Jan 2017
  16. Dec 2016
  17. Nov 2016
  18. Oct 2016
    1. 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.

      Alcuni dei principali operatori spaziali utilizzati nell'image processing.

  19. Jun 2016
    1. 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

      Great use of image processing to estimate what could be the conjectural readings.

  20. Jul 2015
  21. May 2015
    1. 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

      Could be interesting for displaying/interacting with GIS/geodata without leaving the browser.

  22. Mar 2015
    1. 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.
  23. Nov 2014
  24. Sep 2014
    1. 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.

      Yes! Whence the emotional inception. If you don't buy that product that says you're super cool you are then filled with anxiety about whether you're cool. Etc.

      What's being described here isn't some other way in which advertising works other than emotional inception, it's the mechanism of that inception.

  25. Jan 2014
    1. 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.

      1) Initial input is raw image data 2) feature extraction on raw image data 3) extracted features stored in shared, searchable database 4) database available to researchers from many groups 5) quantitative graphical and visualization tools allow access to those without specialized skill in imaging and image analysis

  26. Nov 2013