Edge detection in ultrasound images using speckle reducing anisotropic diffusion in canny edge detector framework

Authors:
Hum Yan Chai;Lai Khin Wee;Eko Supriyanto
Affiliations:
Department of Clinical Science and Engineering, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia Skudai, Johor, Malaysia;Dept. of Clinical Science and Eng., Faculty of Health Science and Biomedical Eng., Universiti Teknologi Malaysia Skudai, Johor, Malaysia and Faculty of Computer Science and Automation, Inst. of Bi ...;Department of Clinical Science and Engineering, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia Skudai, Johor, Malaysia
Venue:
Proceedings of the 15th WSEAS international conference on Systems
Year:
2011

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Abstract

Conventional Canny edge detector can detect edges in image with additive noise effectively but not ultrasound image that are corrupted by multiplicative speckle noise which alleviates image resolution resulting in inaccurate characterization of object features. In this paper, we proposed to incorporate the modified SRAD into the Canny edge detector to replace the Gaussian blurring in the conventional Canny edge detector in order to suppress the multiplicative noise effectively while preserving the edge of the object in ultrasound image. The result shows that the proposed method can provide better result than conventional method in a much wider range of parameter values. The proposed method through experimental result indicates that it is capable of producing promising edge detection result in ultrasound image.