An Edge Detection Algorithm Based on Human Visual System

Chuan Min Xiao; Tian Lei Ma; Ren Bo Xia

doi:10.4028/www.scientific.net/AMR.760-762.1519

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762An Edge Detection Algorithm Based on Human Visual...

An Edge Detection Algorithm Based on Human Visual System

Abstract:

Edge detection is a fundamental problem in computer vision. In this paper, we present an effective algorithm to find salient edges from infrared scene images based on Human Visual System. The algorithm integrates three basic edge features: edge contrast, edge density and edge length. In this manner, the proposed algorithm works well to detect salient region boundaries and to suppress false edges from background and texture. The experimental results demonstrate the effectiveness of the proposed algorithm.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1519-1523

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1519

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Online since:

September 2013

Authors:

Chuan Min Xiao, Tian Lei Ma, Ren Bo Xia

Keywords:

Edge Contrast, Edge Density, Edge Detection, Edge Length, Saliency

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