An Improvement of Two-Dimensional Maximum Entropy Thresholding Segmentation Algorithm for SAR Image

摘要：

In allusion to complex land SAR images,a modified partition method for two dimensional maximum entropic thresholding method is proposed.In this algorithm,a weighted factor is introduced into the criterion function of detection threshold,which strengthen the adaptive capacity to complex land SAR images.Simultaneously,it also improves the accuracy of image segmentation and reduces the false alarm rate and missed alarm rate.Experimental results show that the modified method has better performance in image segmentation.

关键词： Complex land SAR images Two dimensional maximum entropy thresholding method Texture feature Weighted factor point gray-regional grey degrees couple

作者: Tan hai-feng Zheng nan Yang guang Luo tian-wen

作者单位: Special Professional Department Aviation University of Air force Changchun China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 379-382

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）