基于中智学的分水岭图像分割算法

Watershed Image Segmentation Algorithm Based on Neutrosophic

针对传统的分水岭分割算法容易受到噪声干扰的影响,导致图像分割时出现过分割情况,该文提出了一种新的基于中智学的分水岭图像分割算法.该算法首先利用中智学理论把原图像转化为中智学图像,然后再利用阈值法把中智学图像进行二值化图像转化,最后,对转化为二值化图像进行分水岭变换分割.实验结果与分析表明,该算法不仅有效地提高了图像分割的精度,而且还能减少噪声对分割的干扰.

In view of the traditional watershed segmentation algorithm is susceptible to noise interference,resulting in image over-segmentation. Therefore,we propose a new watershed image segmentationalgorithm based on neutrosophic. Experimental results show that the proposed algorithm not onlyimproves the accuracy of image segmentation,but also reduces the interference of noise to segmen-tation.