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ISSN: 2333-9721
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Approach of Image Segmentation Based on Adaptive Oriented Orthogonal Projective Decomposition
基于自适应定向正交投影分解的图象分割方法

Keywords: Image segmentation,Adaptive oriented orthogonal projective decomposition,Gaussian density function,Joint time frequency analysis
计算机图象处理(520·6040)
,图象分割,自适应定向正交投影分解法,高斯分布,时频分析

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Abstract:

Looking upon the gray level histogram as a mixture of two Gaussian density functions is a conventional model in the image segmentation, unfortunately the histogram of the complex image often appears a multi-peak feature. In order to get a more accuracy approximation of this kind of histogram, this paper generalizes this model by considering the histogram a mixture of several Gaussian density functions, and employs a new algorithm of Adaptive Oriented Orthogonal Projective Decomposition to handle the mathematical problems involved in this process. In this proposed method, the key parameters of each Gaussian function can be calculated efficiently, which adequately leads to the determination of the optimal thresholds between different neighboring Gaussian functions. A new parameter called the Dividual Ratio of Threshold is introduced and used as the reference for the selection of the final thresholds. Experimental results show that this method can be effectively applied for the multi-threshold segmentation of complex images.

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