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At times, why does the cv2.threshold function result in a reduction of the dimensionality of a numpy array?

asked 2022-10-30 11:00:00 +0000

huitzilopochtli gravatar image

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answered 2021-05-11 02:00:00 +0000

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The cv2.threshold function is used to separate an image into two regions, based on a threshold value. Pixels with values above the threshold are set to a certain value, while pixels with values below the threshold are set to another value. In this process, some pixels may become completely white or black, which essentially means they have lost their original value.

Since the output of the cv2.threshold function is a binary image (with only two values), it has a lower number of dimensions compared to the original image. For example, a grayscale image with a single channel will have two dimensions (height and width), while its binary thresholded version will have only one dimension (height, width and channel).

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Asked: 2022-10-30 11:00:00 +0000

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Last updated: May 11 '21