Heuristic Search with a New Operator Based Krisch Combination of Image Edge Detection

Jian Ni; Yu Duo Li

doi:10.4028/www.scientific.net/AMR.461.461

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Heuristic Search with a New Operator Based Krisch...

Heuristic Search with a New Operator Based Krisch Combination of Image Edge Detection

Abstract:

This paper designed a new edge detection[1,3] operator based on Krisch edge detector and direction encoding and combining the local average, while proposed heuristic search algorithm in the noise image based on segmentation edge of the self-enhanced. First, use small-scale Gaussian filtering in the noise image, and then use this edge detector for edge detection, and trajectory of each sub-search self-reinforcing, and finally according to the degree of self-reinforcing accumulation of noise to obtain the image edge. The results show that: This algorithm can effectively extract the real object from the noise, and to maximize the retention of details. And the performance better than Krisch and has some speed advantage

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

461-465

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.461

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Online since:

February 2012

Authors:

Jian Ni, Yu Duo Li

Keywords:

Edge Detection, Edge of the Range, Heuristic Search

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