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《Acta Optica Sinica》 2007-07
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Algorithm Research of Adaptive Fuzzy Image Enhancement in Ridgelet Transform Domain

Wang Gang1,2 Xiao Liang3 He Anzhi11 Department of Information Physics and Engineering,Nanjing University of Science and Technology,Nanjing 2100942 School of Physics and Electronic Engineering,Ludong University,Yantai 2640253 School of Computer Science,Nanjing University of Science and Technology,Nanjing 210094  
The implement algorithm of adaptive fuzzy image enhancement is proposed in ridgelet transform domain.Making use of the unique superiority for representing the linear singular border,the ridgelet transform can reach the aim of outstanding the border and restraining the noise.Applying the Fourier projection theorem in the frequency domain,the method is proposed for optimizing the ordering of the finite Radon transform coefficients.As can be seen,the "wrap around" effect is reduced in the image disposed by the Radon transform.The algorithm of adaptive fuzzy image enhancement is put forward based on the generalized fuzzy set and the maximum fuzzy entropy.The processed image is the better compromise between enhancing the characteristics and inhibiting the noise.The experiment shows that the edge detection probability of this algorithm is greater than the traditional ones' with approximate 50% under the condition of low signal-noise ratio(2.5~5.5 dB).Applying the algorithm to enhance the linear cracks in the road surface image,we can enhance the crack signals and restrain the discrete noise,such as oil droplet,cobblestone.
【Fund】: 国家自然科学基金(60672074);; 江苏省自然科学基金(BK2006569);; 南京理工大学青年学者基金(NJUST200401)资助课题
【CateGory Index】: TP391.41
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