Marginal noise removal for scanned document images by projection profile based method

Arnon Prachanucroa, S. Phongsuphap
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引用次数: 3

Abstract

Significant documents or old scarce books have been saved in digital forms by scanning. However, some noises may occur in a scanned image such as marginal noises. The marginal noises usually appear as dark regions around the margin of the scanned documents. In this paper, we propose a method for removing marginal noise by analyzing image histogram or projection profile of the document image. The method consists of the following main steps: Creating image profile; Smoothing the profile by using moving average technique; Dividing the projection profile of the document image into three regions: left, middle, and right; Detecting marginal noises by finding the highest peaks of the projection profile in the corresponding regions; Removing the detected marginal noises by replacing the regions of marginal noises with white pixels. We had performed experiments on 50 input digital document images. The proposed method can detect and remove the marginal noises with a high average accuracy rate of 93.8% which is significantly higher than that of the tradition method, 77.5%, using the original projection profile.
基于投影轮廓的扫描文档图像边缘噪声去除方法
重要的文件或旧的稀有书籍通过扫描以数字形式保存。然而,扫描图像中可能会出现一些噪声,如边缘噪声。边缘噪声通常表现为扫描文档边缘周围的暗区。本文提出了一种通过分析文档图像的直方图或投影轮廓来去除边缘噪声的方法。该方法包括以下主要步骤:创建图像配置文件;采用移动平均技术平滑轮廓;将文档图像的投影轮廓划分为左、中、右三个区域;通过在相应区域寻找投影轮廓的最高峰来检测边缘噪声;用白像素替换边缘噪声区域,去除检测到的边缘噪声。我们对50张输入数字文档图像进行了实验。该方法能够有效地检测和去除边缘噪声,平均准确率达到93.8%,显著高于传统方法(77.5%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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