基于梯度的图像分割新方法

摘要

针对玉米图像和Lena图像的分割方法进行了讨论与研究,将传统的阈值分割与图像梯度计算结合在一起,提出了一种新的彩色图像分割方法.该方法对玉米图像和Lena图像不但具有较好的分割效果,而且具有计算简单,抗噪声能力强,并且同时适用于灰度与彩色图像的场合,较好地克服了传统阈值分割方法的缺点.实验表明该算法不仅能够较好地分割出图像边界,且具有较好的时间性能和较好的分割效果.%To solve the problems of large computation, slow convergence, and easily falling into local extrimum of traditional image segmentation algorithms, a new image segmentation method based on color image gradient calculation was proposed. The experimental results on corn and Lena images, compared with level set method and watershed method, show that the new method can segment images better, faster and steadier, and suits for both grey images and color images.