Integrated Local Image Binarization Using Genetic Algorithm
Fumihiko Saitoh · IEEJ Transactions on Electronics Information and Systems · 1999
The local image binarization is a useful method to convert a gray image to a binary image. In this method, a gray image is separated to some local areas and each area is binarized by the threshold determined in the area. However, the binarization is processed forcibly even if the brightness in an area is even. Therefore, the natural binary image cannot be always obtained by the visual sense because the discontinuity often happens between neighboring areas. This paper proposes a method to determine a set of thresholds for local image binarization using a genetic algorithm. The individual fitness in the population is defined by the matching rate of edges between the gray image and the resulted binary image. The experimental results show that the gray images were converted to the natural binary images by the proposed method.