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http://dx.doi.org/10.6109/jkiice.2019.23.5.540

Binarization Method of Night Illumination Image with Low Information Loss Using Fuzzy Logic  

Lee, Ho Chang (Research Institute Computers, Information and Communication, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.5, 2019 , pp. 540-546 More about this Journal
Abstract
This study suggests a binarization method that minimizes information loss for night illumination images. The object of the night illumination image is an image which is not focused due to the influence of illumination and is not identifiable. Also, the image has a brightness area in only a part of the brightness histogram. So the existing simple binarization method is hard to get good results. The proposed binarization method uses image segmentation method and image merging method. In the stepwise divided blocks, we divide into two regions using the triangular type of fuzzy logic. The value 0 of the membership degree is binarized at the present step, and the value of the membership degree 1 is binarized after the next step. Experimental results show that night illumination images with minimal loss of information can be obtained in a dark area brightness range.
Keywords
Night Illumination; Fuzzy Logic; Information Loss; Binarization; Image Division;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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