Improved Two-Dimensional Fisher Criterion Image Segmentation Method and its Application

Abstract:

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In order to locate and segment the image of grain bags in the granary reserves, and making full use of the spatial location information of grain bags, a threshold method is proposed base on two-dimensional Fisher criterion. Firstly, a two-dimensional histogram is obtained by the gray value and the local average gray value of the pixels. Then, the two-dimensional Fisher criterion function value is determined from the two-dimensional histogram. When the maximum function value is obtained, the pair of gray values is the threshold which can be the optimal threshold value. Since the traditional two-dimensional Fisher algorithm is always time-consuming in processing image, a novel and efficient algorithm is proposed to reduce the computational complexity by introducing a fast classification program. Experimental results indicate that the two-dimensional Fisher method which can distinguish the various grain bag regions efficiently and reduce the computation time greatly gives a steady performance.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

2302-2306

DOI:

10.4028/www.scientific.net/KEM.474-476.2302

Citation:

L. Yong et al., "Improved Two-Dimensional Fisher Criterion Image Segmentation Method and its Application", Key Engineering Materials, Vols. 474-476, pp. 2302-2306, 2011

Online since:

April 2011

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Price:

$35.00

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