A Rapid Algorithm for Grayscale Distribution Normalization of Image Windows with Mask
Shao Pin · Computer Technology and Development · 2014
It is often needed to normalize grayscale distribution of image windows before template matching,but sometimes a few regions of these windows should be eliminated by mask,normal rapid algorithms would be not suitable. As extended integral image is applied,an algorithm is presented for grayscale distribution normalization of image windows with mask of any shape. When the shape of mask is symmetric,the computing time can be further reduced. Experimental results indicate that the algorithm is twice or more as fast as the traditional algorithm. It is especially suitable for object detection with multi resolution,when a large number of windows with mask are needed to be processed with grayscale distribution normalization.