A new approach for image enhancement applied to low-contrast-low-illumination IC and document images

A new approach for image enhancement applied to low-contrast-low-illumination IC and document images
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DOI:
10.1016/j.patrec.2004.09.032
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发表时间:
2005-05
期刊:
Pattern Recognit. Lett.
影响因子:
--
通讯作者:
C. Leung;Ka-shing Chan;Hoi-Mei Chan;W. Tsui
C. Leung;Ka-shing Chan;Hoi-Mei Chan;W. Tsui
中科院分区:
其他
文献类型:
--
作者:
C. Leung;Ka-shing Chan;Hoi-Mei Chan;W. Tsui

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Machine vision has become an integral part of today’s electronic industry. Digital images capturing low contrast and low illumination conditions often cause serious problems in optical character recognition systems. This paper uses poorly digitized images of integrated circuits and documents to demonstrate the effectiveness of using the Generalized Fuzzy Operator with Histogram Equalization and Partially Overlapped Sub-Block Histogram Equalization in reducing background noise and increasing the readability of text by contrast enhancement.