Using the Canny edge detector and mathematical morphology operators to detect vegetation patches

摘要：

Numbers and areas and locations of vegetation community patch are the important parameters for vegetation function and structure researches. In this paper, these parameters of vegetation patches are detected using the Canny edge detector and mathematical morphology operators. Firstly, part of a SPOT 5 fusion-ready color image is transformed into the gray image, then, stretched according to the histogram of the gray image in order to enhance the interesting vegetation patches. Secondly, using the Wiener filter to remove the noise and Canny edge detector to find the edges of the targets in the gray image. Finally, vegetation patches are detected based on the mathematical morphology criterion of circle and ellipse object and the centers of the patches are located. The experiments show that integration the Canny edge detector with the algorithms for extracting circle and ellipse object based on mathematical morphology are simple and effective for detecting vegetation patches.

关键词： Canny edge detector vegetation patch mathematical morphology operators detect

作者: Qingsheng LIU Jinfa DONG Gaohuan LIU Chong HUANG Chuanjie XIE

作者单位: State Key Lab. of Resources and Environmental Information System Institute of Geographic Science and Natural Resources Research, the Chinese Academy of Sciences Beijing, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 279-283

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）