While exploring computer vision, particularly in image processing, I came across the concept of “calculating the block-sum” of an array. Can someone describe what this coined term means? Additionally, could you provide a code snippet that is easily interpreted and understood?
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Calculating the block-sum of an array refers to the process of dividing an image into non-overlapping blocks or regions and computing the sum of pixel values within each block. This is a common operation used in computer vision for feature extraction, as it can help to reduce noise and highlight local patterns and structures within an image. The resulting block-sum array can then be used as input for various feature extraction algorithms.
Here is an example code that implements this technique in Python: