SAR Image Segmentation Based on Gabor Filters of Adaptive window In Overcomplete Brushlet Domain

摘要：

In this paper,a new technique based on Gabor filters with adaptive window is proposed for SAR image segmentation in overcomplete brushlet domain.SAR image is full of texture and direction information,and brushlet is a new kind of analysis tool for image with rich directional information. Aim at these characteristics,this paper combines Gabor filters with GLCP for segmentation in brushlet coefficients domain.In SAR image processing,the difficulty is the balance between regions and boundaries. The adaptive window technique is adapted in this paper to obtain the optimal size of Gabor filters. The presented method was found to be superior to three other methods by the experimental results for SAR image.

关键词： SAR image segmentation overcomplete brushlet gray-level cooccurrence probability (GLCP) Gabor filters Adaptive window

作者: Xueying Yan Licheng Jiao Shuwen Xu

作者单位: Institute of Intelligent Information Processing,Xidian University,Xian,China National Laboratory of Radar Signal Processing,Xidian University,Xian,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 660-663

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）