Binarization of the Image due to Dynamic Convex Quadrilateral Region Segmentation using GA

Abstract

The method that binarizes an image by local thresholds in separated image areas is useful when the image has uneven brightness. And the method was proposed that separate an image dynamically for local thresholding to generate a binary image using a genetic algorithm. However, existing method used only horizontal and vertical lines for separating an image. This paper suggests a method to separate an image dynamically using diagonal lines for local thresholding to generate a binary image using a genetic algorithm and to evaluate binary image. The experimental results show that the binarized images by the proposed method is well separated object from the background, and that include less noise and blurs than existing method.