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

Qingsheng Liu; Jinfa Dong; Gaohuan Liu; Chong Huang; Chuanjie Xie

doi:10.1117/12.896163

8 July 2011 Using the Canny edge detector and mathematical morphology operators to detect vegetation patches

Qingsheng Liu, Jinfa Dong, Gaohuan Liu, Chong Huang, Chuanjie Xie

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091H (2011) https://doi.org/10.1117/12.896163
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

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.

Citation Download Citation

Qingsheng Liu, Jinfa Dong, Gaohuan Liu, Chong Huang, and Chuanjie Xie "Using the Canny edge detector and mathematical morphology operators to detect vegetation patches", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091H (8 July 2011); https://doi.org/10.1117/12.896163

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