A Video Image Segmentation Technology Based on Adaptive Thresholding Algorithm

Hai Jun  Zhao

doi:10.4028/www.scientific.net/AMM.380-384.1189

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Video Image Segmentation Technology Based on...

A Video Image Segmentation Technology Based on Adaptive Thresholding Algorithm

Abstract:

Image segmentation is a key step in image processing and image analysis and occupies an important position in image engineering.In this paper, basing on maximum variance between-class, an adaptive and multi-objective image segmentation method is proposed. The concrete implement is to determine adaptively the optimum number of threshold of image using the idea of variance decomposition,while calculating the weighted ratio of within class difference and class difference existing in each classification image. By comparing the ratio, the optimum number of target for image can be get. The experimental results show that the sub-images after segmentation are relatively clear and the differences between classes are obvious.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1189-1192

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1189

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Online since:

August 2013

Authors:

Hai Jun Zhao

Keywords:

Adaptive, Image Segmentation, Optimal Thresholding, Variance Decomposition

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References

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