基于RGB彩色空间的图像分割研究

图像分割是图像处理中的主要问题,图像分割效果的好坏直接影响图像分析的结果。彩色图像分割是指将彩色图像分割成各具特性的区域并提取出其中感兴趣的目标,为后续图像处理工作奠定基础。针对彩色图像梯度图进行分水岭分割会造成过分割的问题,比较阈值分割、最大类间方差分割和最大熵分割等图像分割方法,提出一种基于遗传算法改进最大熵的彩色图像分割方法。实验结果表明,该图像分割算法灵活性强,可以有效地分割彩色图像。

Study on Image Segmentation Based on RGB Color Image

Image segmentation is a major problem in image processing,the effect of image segmentation directly affects the results of image analysis.Color image segmentation is to segment the color image into regions with different characteristics and to extract the target of interest,which lays the foundation for the subsequent image processing.For color image gradient map of watershed segmentation,it will cause the over segmentation problem,through comparing with various image segmentation methods(threshold segmentation,Ostu segmentation,maximum entropy segmentation),a color image segmentation method of maximum entropy based on genetic algorithm was proposed.The test results show that the image segmentation algorithm can effectively segment the color image.