关键词: 图像分割, 最优阈值化, K-均值算法, 鲁棒性

Abstract: How to effectively segment objects in the color images is the key point in the computer vision and image analysis.This paper presents repeated using the optimal threshold for a roughly extract the largest target area of the color image.Then improved K_means clustering algorithm is used to improve the accuracy of the segmentation from the target area.Experimental results show that this method can effectively extract color image of the object.It is also a certain degree of robustness to the noise image.

Key words: image segmentation, optimal threshold, K_mean clustering algorithm, robustness