Contour Extraction of Inclusion Image with Mumford-Shah Model

Guo Xiang Lin; Wei Min Zhou; Yong Hui Tang; Lin Sheng Li

doi:10.4028/www.scientific.net/AMR.591-593.2410

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Contour Extraction of Inclusion Image with...

Contour Extraction of Inclusion Image with Mumford-Shah Model

Abstract:

The target contour extraction is one of key questions in computer vision. Because of its intrinsic limitations, the traditional C-V method can not meet the requirements of inclusion image contour extraction. To overcome this shortcoming, this paper introduces image overlay to make some improvements on the C-V methods, which is based on simplified Mumford-Shah, and compares the different contour extraction results caused by traditional method and improved C-V method. The results vindicate the efficiency and feasibility of improved C-V method.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

2410-2413

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.2410

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Online since:

November 2012

Authors:

Guo Xiang Lin, Wei Min Zhou, Yong Hui Tang, Lin Sheng Li

Keywords:

Contour Extraction, C-V Method, Inclusion Image, Mumford-Shah Model

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