Evaluation Criterion for Threshold Segmentation Algorithms

Yu Bing Dong; Ming Jing Li; Ying Sun

doi:10.4028/www.scientific.net/AMM.525.719

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 525Evaluation Criterion for Threshold Segmentation...

Evaluation Criterion for Threshold Segmentation Algorithms

Abstract:

Threshold-based segmentation algorithms are introduced and simulated. In order to evaluate the performance of various threshold segmentation algorithms, the quantitative experimental criterions are introduced and applied. And through large experiments by using MATLAB, threshold segmentation algorithms are evaluate with uniformity measure (UM), shape measure (SM) and gray-level contrast (GC). The effect of image segmentation is described by using the average value of three experimental criterions (UM, SM and GC).

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Periodical:

Applied Mechanics and Materials (Volume 525)

Pages:

719-722

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.525.719

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Online since:

February 2014

Authors:

Yu Bing Dong*, Ming Jing Li, Ying Sun

Keywords:

Image Segmentation, Quantitative Experimental Criteria, Threshold Segmentation

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* - Corresponding Author

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