关键词: 图像分割, 阈值, 大津法, 二分法, 方差

Abstract: It is really time-consuming for Otsu to seek the optimal threshold for the image composed of multiple targets. Therefore, a simple and efficient histogram-based approach for multi-threshold was proposed. The gray range of the object image was divided into two classes with a threshold value. Following this, the two classes were divided into four classes again by applying the Otsu's bisection method to each of the divided sub-ranges. The experimental results show that the proposed method is suitable for image segmentation, and can be efficiently used for pattern matching and face recognition.

Key words: image segmentation, threshold, Otsu’s method, two-class segmentation, variance