Using ImageMagick: $ convert image.png -crop '1x1 +100+200 ' txt:-. Outputs, e.g. # ImageMagick pixel enumeration: 1,1,255,rgb 0,0: (236,236,236) #ECECEC rgb (236,236,236) Or, if the file is PNG-24 file, it outputs e.g.
Close the image window after you have downloaded its file. Choose File > Open, navigate to your Week 2 folder, and open the lake_mead_250m.jpg image. Choose Analyze > Set Scale.... Enter the known resolution. In this case, the resolution is in the name of the image file — 250m per pixel. Set the scale to 1 pixel equals 250 meters.
This will be so I can identify the brightest area in an image rather than only brightest pixel. Here is the code to identify the brightest pixel in an image and highlight it: im=cv2.imread('image ...
For color images, numel doesn't give you the number of pixels since most people consider the number of lateral points pixels, so a single pixel would have 3 elements for a color image. Not sure what was meant by reshaping the image, but size() does not reshape the image, nor does doing riceImage(:) or riceImage(1:end).