Fuzzy contrast enhancement algorithm for road surface image based on adaptively changing index via grey entropy
With regard to the problem of declining of road surface image quality in high-speed processing, the grey entropy is applied to the road surface image enhancement to lay a good foundation for the automatic detection of cracks. We use the grey entropy of the texture of the local area in the road surface image to characterize the scale of the increase or decrease in the process of image local contrast enhancement and fine-tune the local contrast function for that we could effectively maintain the smooth region relatively smooth while enhancing the contrast of the image edge region. Finally, simulation results show that the algorithm is more effective to improve the quality of pavement crack image than other traditional algorithms and it is a good algorithm. © 2013 Asian Network for Scientific Information.
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Information technology journalVolume
12Pagination
5309-5314Location
Dubai, U.A.E.Publisher DOI
ISSN
1812-5638eISSN
1812-5646Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2013, Asian Network for Scientific InformationIssue
19Publisher
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