Image bilevel thresholding based on stable transition region set

Authors:
Yaobin Zou;Hong Liu;Qin Zhang
Affiliations:
Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei 443002, China and School of Computer Science and Technology, Huazhong University of Science and ...;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;Department of Mathematics, China Three Gorges University, Yichang, Hubei 443002, China
Venue:
Digital Signal Processing
Year:
2013

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Abstract

We utilize the linear system theory to establish a theory model of transition region. With the model, we reveal an important property of transition region, namely the gray level distribution symmetry. Utilizing the property, we propose a new thresholding framework based on stable transition region set. The elements of the stable transition region set are equal or close to each other in the average gray level. As an example of the proposed framework, we have shown that the feature transformation based on the multiscale gradient multiplication technology is an effective means of estimating the threshold. We have performed subjective and objective comparisons on both synthetic and real images. The experimental results show the segmentation quality of the proposed approach is superior to three conventional transition region-based thresholding methods.