文章基本信息

标题：PEAK SIGNAL-TO-NOISE RATIO BASED ON THRESHOLD METHOD FOR IMAGE SEGMENTATION
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作者：FARSHID PIRAHANSIAH ; SITI NORUL HUDA SHEIKH ABDULLAH ; SHAHNORBANUN SAHRAN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：57
期号：2
出版社：Journal of Theoretical and Applied
摘要：Binarization or thresholding is one problem that must be solved in pattern recognition and it has a very important influence on the sequent steps in imaging applications. Thresholding is used to separate objects from the background, and diminish the amount of data alter the computational speed. Recently, interest in multilevel thresholding has been altered. However, when the levels are altered, the computation time alters so single threshold methods are accelerated than multilevel methods. Moreover, for every new application, new methods are is acquired. In this work, a new algorithm which used the gain signal-to-noise ratio method as an indicator to segment the image is aimed. The algorithm which is used the DIBCO 2011 in printed and a handwritten image was tested. This method has a better performance than new methods, such as Kittler and Illingworth's Minimum Error Thresholding, potential difference and Otsu.
关键词：PSNR; Single Thresholding; Image Processing; Image Segmentation; Optical Character Recognition