Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
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SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Nonlinear Matrix Diffusion for Optic Flow Estimation
Proceedings of the 24th DAGM Symposium on Pattern Recognition
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ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
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This paper suggests a new diffusion method, which based on modified coherence diffusion for the enhancement of ocular fundus images (OFI) and parallel AOS scheme is applied to speed algorithm, which is faster than usual approach and shows good performance. A structure tensor integrating the second-order directional differential information is applied to analyze weak edges, narrow peak, and vessels structures of OFI in diffusion. The structure tensor and the classical one as complementary descriptor are used to build the diffusion tensor. The several experiment results are provided and suggest that it is a robust method to prepare image for intelligent diagnosis and instruction for treatment of ocular diseases. The modified diffusion for the enhancement of OFI can preserve important oriented patterns, including strong edges and weak structures.