NDLI: An Effective Automatic Image Enhancement Method

Content Provider	IEEE Xplore Digital Library
Author	Jiang, Jun Cheng, Jun Chen, Xinglin
Copyright Year	2008
Abstract	Otsu method is proper to deal with two conditions: (1) two or more classes with distintive gray-values respectively; (2) classes without distinctive gray-values, but with similar areas. However, when the gray-value differences among classes are not so distinct, and the object is small relative to backgroud, the separabilities among classes are insufficient. In order to overcome the above problem, this paper presents an improved spatial low-pass filter with a parameter and presents an unsupervised method of automatic parameter selection for image enhancement based on Otsu method. This method combines image enhancement with image segmentation as one procedure through a discriminant criterion. The optimal parameter of the filter is selected by the discriminant criterion given to maximize the separability between object and background. The optimal threshold for image segmentation is computed simultaneously. The method is used to detect the surface defect of container. Experiments illustrate the validity of the method.
Starting Page	289
Ending Page	293
File Size	488478
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Low pass filters Face recognition Containers Frequency domain analysis Image segmentation Histograms Space technology image segmentation Signal processing Automatic control automated visual inspection automatic image enhancement Image enhancement
Content Type	Text
Resource Type	Article

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