I am new to matlab. Can someone provide me the code of the following lines. Divide the image into small connected regions called cells, and for each cell compute a histogram of gradient directions or edge orientations for the pixels within the cell. Discretize each cell into angular bins according to the gradient orientation. Each cell's pixel contributes weighted gradient to its corresponding angular bin. Groups of adjacent cells are considered as spatial regions called blocks. The grouping of cells into a block is the basis for grouping and normalization of histograms. Normalized group of histograms represents the block histogram. The set of these block histograms represents the descriptor. I shall be very thankful for the kind act of consideration.

Histogram of Oriented Gradients (HOG) Descriptor

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Shah Bano on 22 Mar 2019

I am new to matlab. Can someone provide me the code of the following lines.

Divide the image into small connected regions called cells, and for each cell compute a histogram of gradient directions or edge orientations for the pixels within the cell.
Discretize each cell into angular bins according to the gradient orientation.
Each cell's pixel contributes weighted gradient to its corresponding angular bin.
Groups of adjacent cells are considered as spatial regions called blocks. The grouping of cells into a block is the basis for grouping and normalization of histograms.
Normalized group of histograms represents the block histogram. The set of these block histograms represents the descriptor.

I shall be very thankful for the kind act of consideration.

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