基于Lab和全局阈值分割的水果图像分割算法

Fruit Image Segmentation Algorithm Based on Lab and Global Threshold Segmentation

提出一种基于Lab颜色空间和全局阈值分割的水果图像分割算法,介绍了算法原理。为了检验这一算法的分割效果,对无缺陷水果图像和有缺陷水果图像进行分割试验对比。试验结果表明,基于Lab颜色空间和全局阈值分割的水果图像分割算法可以不受光照和颜色的影响,实现大范围分割,并且能够准确分割出无缺陷水果图像和有缺陷水果图像。

A fruit image segmentation algorithm based on Lab color space and global threshold segmentation was proposed,and the principle of the algorithm was introduced.In order to test the segmentation effect of this algorithm,the segmentation tests of the non-defective fruit image and the defective fruit image were compared.The test result shows that the fruit image segmentation algorithm based on Lab color space and global threshold segmentation can achieve large-scale segmentation without the influence of light and color,and can accurately segment the non-defective fruit image and the defective fruit image.