Projection-based Scanned Image Enhancement

被引：0

作者：

Ahmed, Mohamed Nooman ^{[1
]}

机构：

[1] Lexmark Int Inc, Software Res, Lexington, KY USA

来源：

NIP24/DIGITAL FABRICATION 2008: 24TH INTERNATIONAL CONFERENCE ON DIGITAL PRINTING TECHNOLOGIES, TECHNICAL PROGRAM AND PROCEEDINGS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present a new system to segment and label document images by combining statistical and multiscale view of different image components. Texture of text, halftone and images are characterized by modeling the distribution of a novel intensity projection technique using a mixture of K Gaussians. Model parameters are then estimated using the expectation maximization (EM) algorithm. Using the proposed algorithm, halftone areas were successfully differentiated from text regions

引用

页码：635 / 638

页数：4

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