Research on Low Quality Texture Image Segmentation Background

Ning Liu; Hong Xia Wang

doi:10.4028/www.scientific.net/AMM.687-691.3616

Paper Titles

Application of Parallel Computing in Feature Point Extraction Processing of Remote Sensing Images
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Flame Recognition Based on Video Image
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Research on CFA-Based Method of Tomography
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Research on Fingerprint Image Segmentation under Complex Background
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Research on Low Quality Texture Image Segmentation Background
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Research on Information Channel Distributed Mechanism in Cognitive Wireless Mesh Network
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Research on the Multi-Focus Image Fusion Method Based on the Second-Generation Curvelet Transformation
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Research on the Micro-Blog Public Welfare Communication on the Perspective of Harmonious Society
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Research on Image Compressed Technology Based on Compressed Sensing
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on Low Quality Texture Image Segmentation...

Research on Low Quality Texture Image Segmentation Background

Abstract:

In image processing, the texture image segmentation is one of the most important issues. Considering the problem that the traditional segmentation methods often fail to the low quality texture image segmentation, this paper proposes a modified OTSU thresholding segmentation method. Experimental results show that the proposed method not only is well adapt to the change of brightness and contrast, but also can be applied to much complex background.