文章基本信息

标题：A NOVEL STEERABLE FILTERS BASED FUZZY UNSHARP MASKING SCHEME FOR DOCUMENT IMAGES ENHANCEMENT
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作者：E. BALAMURUGAN ; DR. P. SENGOTTUVELAN ; K. SANGEETHA 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：2014
卷号：61
期号：2
出版社：Journal of Theoretical and Applied
摘要：Document image sweetening is to focus on the texts, handwritten characters and images in the Document. Problem with most of the document image analysis system is images with low contrast not able to produced optimal results. In this paper, a steerable filters based fuzzy unsharp masking algorithmic rule is given to improve the contrast of the document image. In this method we introduce the fuzzy set theory into the unsharp masking scheme. Moreover, in this proposed model includes the new methods to replace a high pass filter with manageable filters in unsharp masking scheme. Contrast enhancement is achieved through the open membership performance is projected to rework the output of steerable filters into fuzzy domain. The experimental results clearly show that the proposed methodology not slowly improves the image quality however will get a far better recognition performance.
关键词：Document Image Enhancement; Steerable Filters; Unsharp Masking; And Fuzzy Set Theory; Unsharp Masking (UM)