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- W2373025568 abstract "The segmentation of intravascular ultrasound(IVUS) images has great significance in the study of arteriosclerosis disease and intervention therapy.However,due to its inherent speckle noise,the speed and accuracy of automatic segmentation of IVUS images would be influenced severely.In this paper,a novel speckle reduction algorithm based on contourlet transform and nonlinear diffusion(CTND) was proposed.Using the adaptive contrast factor,the directional subbands of IVUS image were filtered by nonlinear diffusion without a homomorphic operation in contourlet domain.Experimental results showed that the algorithm could effectively reduce the speckle noise while preserving the strong and weak edges for IVUS images,laying a good foundation for the detection of the adventitia of IVUS images." @default.
- W2373025568 created "2016-06-24" @default.
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- W2373025568 date "2009-01-01" @default.
- W2373025568 modified "2023-09-25" @default.
- W2373025568 title "IVUS Image Denoising Based on Contourlet Transform and Nonlinear Diffusion" @default.
- W2373025568 hasPublicationYear "2009" @default.
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