An Image Segmentation Method Based on Adaptability Threshold

Hui Li; Ping He

doi:10.4028/www.scientific.net/AMR.734-737.2912

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737An Image Segmentation Method Based on Adaptability...

An Image Segmentation Method Based on Adaptability Threshold

Abstract:

Automation strain measurement of the sheet metal deforming becomes one of the important application fields of computer vision. The algorithm of image segmentation based on adaptability threshold was presented for image segmentation of metal steel. In order to validate the proposed method, it is tested and compared with Ostu method and the one-dimensional maximum entropy method. Experiment results indicate that the method is simple and effective, and has an advantage of reservation of the main features of the original image.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

2912-2916

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.2912

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Online since:

August 2013

Authors:

Hui Li, Ping He

Keywords:

Adaptability Threshold, Computer Vision, Image Segmentation

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