Image Segmentation Based on Differential Evolution Algorithm

摘要：

Threshold segmentation is a critical technology of image segmentation. When the image is low signal-to-noise, the maximum between-cluster variance method (OTSU) cannot provide the ideal result The 2D maximum between-cluster variance method can perform well with sharply increased computation. This work proposes a new image segmentation method based on OTSU and Differential Evolution. This solution performs a pre-processing step before the image segmentation. It is shown that Differential Evolution presents good segmentation result in noisy images. Moreover, the use of this method is easier and faster compared to the 2D maximum between-cluster variance method.

关键词： image segmentation threshold segmentation Differential Evolution OTSU threshold selection

作者: Zhenkui Pei Yanli Zhao Zhen Liu

作者单位: College of Computer and Communication Engineering, China University of Petroleum Dongying 257061, Ch College of Computer and Communication Engineering, China University of Petroleum Dongying 257061, Ch

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 48-51

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）