Image bilevel thresholding based on multiscale gradient multiplication

Authors:
Yaobin Zou;Hong Liu;Enmin Song;Zhiyong Huang
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;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei 443002, China and College of Computer and Information Technology, China Three Gorges University ...
Venue:
Computers and Electrical Engineering
Year:
2012

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Abstract

This paper introduces a novel global thresholding approach that exploits the multiscale gradient information. The multiscale gradient information, that is, the product of gradient magnitude (PGM), is obtained by multiplying the responses of the first derivative of Gaussian (FDoG) filter at three adjacent space scales. The output threshold is selected as the one that maximizes a new objective function of the gray level variable t. The objective function is defined as the ratio of the mean PGM values of the boundary and non-boundary regions in the binary image obtained by thresholding with variable t. Through analysis of 35 real images from different application areas, our results show that the proposed method can perform bilevel thresholding on the images with different histogram patterns, such as unimodal, bimodal, multimodal, or comb-like shape. Its segmentation quality is superior to five popular thresholding algorithms.