Enhanced Color Coherence Vector Extraction Algorithm
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Resource Overview
Enhanced Color Coherence Vector Extraction Function - This function outputs a three-column vector where: the first column represents aggregated area within color bins, the second column contains remaining pixel areas of color bins, and the third column is a newly added feature indicating positional information by dividing the image into sixteen sub-blocks and recording the sub-block containing the centroid of each aggregated region.
Detailed Documentation
The original paper mentions an enhanced color coherence vector extraction algorithm. This function generates a vector with three distinct columns. The first column contains the aggregated area values for each color bin, while the second column stores the remaining pixel areas within the respective color intervals. To provide enhanced positional context, we've implemented additional functionality that divides the input image into sixteen uniform sub-blocks and records the specific sub-block containing the centroid of each aggregated region. This implementation utilizes MATLAB's regionprops function to calculate centroid coordinates and employs simple arithmetic to map these coordinates to corresponding sub-block indices, thereby providing more precise spatial information about the distribution of aggregated areas throughout the image.
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