How can I count all pixel values that are not black(0)?

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Serena Tenhumberg
Serena Tenhumberg el 27 de Jul. de 2018
Editada: Ben Frankel el 27 de Jul. de 2018
I have a binary image with cropped regions that are black, and I need a count of all the pixels that are not cropped?

Respuestas (2)

Ben Frankel
Ben Frankel el 27 de Jul. de 2018
Editada: Ben Frankel el 27 de Jul. de 2018
If the image is stored as a binary matrix M, you can use this:
count = sum(M(:) ~= 0);
For very large images, this runs much faster than sum(M(:)) and nnz(M), and it works for grayscale images as well.
EDIT: Thanks to Stephen for pointing out my mistake.

Stephen23
Stephen23 el 27 de Jul. de 2018
Editada: Stephen23 el 27 de Jul. de 2018
Where I is your image:
nnz(I)
Note that this is robust to using different values for encoding the non-zero value in the binary image, e.g. sometimes binary images are encoded using 0 and 255 with uint8.
  1 comentario
Ben Frankel
Ben Frankel el 27 de Jul. de 2018
If the image is large enough or the count is calculated often enough, sum will be faster because it doesn't require a comparison to 0.

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