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In this paper, we propose a novel method for extracting the affine invariant features of images, named the new polar normalized histogram (NPNH).The feature of an image is extracted from a polar histogram bins originating from centroid of the mass to all other points in it with 5 bins for r and 24 bins for Theta.However, the traditional normalization is rotation variant since it normalizes the image...
The quality of texture segmentation depends on extracted features. Most statistical feature extraction techniques require an optimum region size, called a window, to capture a better texture feature. The literature shows that window-size selection is primarily done by visual inspection based on experience or trial and error. The paper investigates the issue and attempts to formulate a framework based...
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