文章基本信息

标题：AN ENHANCED APPROACH TO IMPROVE THE CONTRAST OF IMAGES HAVING BAD LIGHT BY DETECTING AND EXTRACTING THEIR BACKGROUND
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作者：Gurpreet Bhatia ; Deepak Goel
期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2011
卷号：11
期号：2
出版社：Imperial Foundation
摘要：The application of mathematical morphology to image processing and analysis has initiated a new approach for solving a number of problems in the image enhancement field. So, we have used morphological operators to detect and extract the background of images. Various operators used are erosion, dilation, opening and closing. After the background is extracted, contrast of bad lightning image is improved by the application of operators based on Weber’s law notion. The operators used are block analysis and opening by reconstruction. In this paper, we will present the result of images on applying these operators.
关键词：Morphological operators; block analysis; opening by reconstruction; contrast.