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Contrast Based Enhancement of Palm-leaf Manuscript Images

机译:基于棕榈叶稿件图像的对比度增强

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摘要

This paper presents a new color document image processing scheme, suitable for enhancement of palm-leaf manuscript images. Generally, image analysis systems consist of three stages: pre-processing, binarization and postprocessing. In the proposed scheme, pre-processing is done using a newly developed contrast based RGB to grey-scale conversion technique and other two stages are combined in a novel two-level global binarization technique. First, the input RGB color image is converted into its enhanced grey-scale version on the basis of relationship between contrast ranges of three color planes, R,G and B. The threshold for two-level global binarization technique is decided on the basis of contrast range and mean of gray-scale image. Use of enhanced gray-scale image in proposed and enhanced binarization techniques shows significant improvement in the quality of binarization results.
机译:本文介绍了一种新的彩色文档图像处理方案,适用于增强掌叶稿件图像。通常,图像分析系统由三个阶段组成:预处理,二值化和后处理。在所提出的方案中,使用新开发的基于对比的RGB进行预处理到灰度转换技术,并且其他两个阶段以新颖的两级全局二值化技术组合。首先,基于三个颜色平面,R,G和B的对比范围之间的关系,输入RGB彩色图像被转换为​​其增强的灰度版本。基于的基础上确定两级全局二值化技术的阈值对比度范围和灰度图像的平均值。在提出和增强的二值化技术中使用增强的灰度图像显示出二值化结果的显着提高。

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