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Published byPenelope Jackson Modified over 6 years ago
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Image Analyzer John Ponte SAS Abstract References
It is important to have fibrin in your blood cells for clotting but too much fibrin can cause harmful blood clots. Abstract JMP is great at analyzing data but what about images? Well, an image is just data stored in a two dimensional array, called pixels. The Image Analyzer Add-In will read in an image and convert the pixels to a JMP data table. The data is represented as RGB color, HLS color and gray-scale intensity. The location of each pixel is also stored for proximity analysis. Now you can run any JMP analysis on your data and even select the data as pixels in the image, values in the analysis or rows in the data table. Now we can examine the amount of fibrin in blood cells (left) or uncover the real color of #TheDress (right). Blue / White hue Black / Gold hue Clustering finds two distinct hues in #TheDress, and the distribution identifies them as blue and gold. References Download the Image Analyzer from the JMP User Community The Image Analyzer answers the question, What color is #TheDress? Selecting the highest intensity values in the Distribution highlights the highest concentration of fibrin in blood cells.
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#TheDress: The distribution identifies two distinct hues
#TheDress: The distribution identifies two distinct hues. Selecting the upper bars in the distribution (right) highlights the blue / white pixels in the image as well as the corresponding rows in the data table. Selecting the lower bars in the distribution (lower-right) does the same for the black / gold pixels. Below, is the original image of the blue and black dress…or was that white and gold? Fibrin: On the left, is the original image showing fibrin in a blood cell. The image on the right shows the highest concentrations of the fibrin being highlighted. The Image Analyzer highlights selected values by fading out the unselected pixels in the image. Selection can be done in the image, in a visualization or in the data table. Click Here to Return
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