SAR image edge detection via directional Bhattacharyya coefficient with its application on image segmentation

Shuchen Fan; Penglang Shui; Zejun Zhang; Yuhe Sun

doi:10.1117/12.2522837

15 March 2019 SAR image edge detection via directional Bhattacharyya coefficient with its application on image segmentation

Shuchen Fan, Penglang Shui, Zejun Zhang, Yuhe Sun

Author Affiliations +

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104107 (2019) https://doi.org/10.1117/12.2522837
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

In this paper, a novel edge detector for synthetic aperture radar (SAR) images is proposed by introducing the Bhattacharyya coefficient (BC) combining with the rotated biwindow configuration. Based on the quantified input image, the BC is computed from two sample distribution histograms of local regions supported by the subwindows on the opposite sides of the pixel to be detected. With biwindows of different directions sliding through the image, multiple directional Bhattacharyya coefficient matrices are obtained, which are utilized to extract the edge strength map (ESM), characterizing the intensity variation in SAR images. Sequent nonmaximum suppression and hysteresis thresholding refine the extracted ESM into thin edges. Experiment results show that the proposed edge detector can accurately extract edges. Moreover, the BC-based ESM can act as a good precursor to guide SAR image segmentation based on region merging.

Citation Download Citation

Shuchen Fan, Penglang Shui, Zejun Zhang, and Yuhe Sun "SAR image edge detection via directional Bhattacharyya coefficient with its application on image segmentation", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104107 (15 March 2019); https://doi.org/10.1117/12.2522837

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