50 lines
1.3 KiB
Matlab
50 lines
1.3 KiB
Matlab
function F=extractSpatialTexture(img, grid_rows, grid_columns, bins, threshold)
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img_size = size(img);
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img_rows = img_size(1);
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img_cols = img_size(2);
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row_divs = [];
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for i = 1:grid_rows
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row_divs(i) = i/grid_rows;
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end
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col_divs = [];
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for i = 1:grid_columns
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col_divs(i) = i/grid_columns;
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end
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descriptor = [];
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%% divide image into sectors as defined grid parameters
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for i = 1:grid_rows
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for j = 1:grid_columns
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% cell row pixel range
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row_start = round( (i-1)*img_rows/grid_rows );
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if row_start == 0
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row_start = 1;
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end
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row_end = round( i*img_rows/grid_rows );
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% cell column pixel range
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col_start = round( (j-1)*img_cols/grid_columns );
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if col_start == 0
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col_start = 1;
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end
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col_end = round( j*img_cols/grid_columns );
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% grab cell from parameters as above
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img_cell = img(row_start:row_end, col_start:col_end, :);
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grey_img_cell = getGreyscale(img_cell);
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[mag_img, angle_img] = getEdgeInfo(grey_img_cell);
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edge_hist = getEdgeAngleHist(mag_img, angle_img, bins, threshold);
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%concatenate average values into vector
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descriptor = [descriptor edge_hist];
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end
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end
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F=descriptor;
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return; |