A novel approach to contrast improvement of radiographic images using Fast Multilevel Fuzzy Edge detectors

K Arulmozhi,K Rathinakumar,Kumaraswami Kannan,S Arumuga Perumal,R K Selvakumar,Narayanan C Krishnan

Computational Intelligence and Computing Research（2010）

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摘要

Contrast improvement is useful when the details in an image is not clear due to various reasons and are widely available, but their applications are not well defined. Contrast improvement has been applied to different fields and many algorithms have been proposed for contrast improvement in the past decade. In this paper, it is propose to improve the contrast of the radiographic images using Fast Multilevel Fuzzy Edge detectors (FMFE) in spatial domain and to compare its performance with the Sobel edge detectors in terms of Peak Signal to Noise Ratio, Correlation Coefficients and Structural Stability.

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关键词

diagnostic radiography,edge detection,fuzzy set theory,image enhancement,medical image processing,statistical analysis,contrast improvement,correlation coefficients,fast multilevel fuzzy edge detector,peak signal to noise ratio,radiographic image,spatial domain,structural stability,fast multilevel fuzzy edge detectors,image thresholds,radiographic images,radiography,adaptive filters,pixel,histograms,detectors

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