基于模糊和遗传算法的阈值分割方法

Threshold image segmentation based on fuzzy and genetic algorithms

提出了一种阈值分割方法。本算法将模糊集理论和遗传算法有机地结合起来 ,它是一种有监督的分割方法 ,首先确定图像阈值的数目 ,然后将灰度图像模糊化 ,确定准则函数 ,采用遗传算法求得最优解 ,最后经过后处理得到最终分割结果。实验表明该方法运算速度快 ,且对噪声不敏感 ,具有较高的鲁棒性。

In this paper, a threshold image segmentation method is presented. This method combines the fuzzy set and genetic algorithms, it is a supervised image segmentation method. At first, the threshold number is ascertained, then the input image is transformed into fuzzy field and a normal function is selected, genetic algorithms (GA) are used to obtain the optimization threshold, at last segmentation result through post-processing is obtained. The experimental results show that this method is robust and calculate faster. \;