关键词: 图像分割 二值化 互信息量 FCM算法

Abstract:

Most image segmentation algorithms rely on statistical methods, without taking the relationships between the pixcls into account. In the paper, the FC M algorithm is combined with the mutual information （MI） technique. The initial threshold can be chosen by using the FCM algorithm, and in the iterati ion process, an optimal threshold will be determined by maximizing the MI between the original and segmented images. We evaluate the effectiveness of the proposed approach by applying it to medical images and license plate images. The experimental results indicate that the proposed method has not only v  isually better or comparable segmentation effect but also, more favorably, the removal ability for noises.

Key words: image segmentation, thresholding, mutual information, FCM algorithm