Image Binarization by Dynamic Convex Quadrilateral Region Segmentation Using GA

AbstractThe method that binarizes an image by local thresholds in separated image areas is useful when the image has uneven brightness. A method was proposed to separate an image dynamically for local thresholding to generate a binary image by using a genetic algorithm GA. However, the existing method used only horizontal and vertical lines for image separation. This paper suggests a method of separating an image dynamically using diagonal lines for local thresholding in order to generate a binary image by using a GA and of evaluating binary images. The experimental results show that the images binarized by the proposed method have good separation of objects from the background, and that they include less noise and blur than those binarized by the existing method.