An edge preserving noise smoothing technique using multiscale morphology
Signal Processing
Image feature to take the edge of the research methods by anisotropic diffusion
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
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Current formulations of anisotropic diffusion are unable to prevent feature drift and smooth small regions. These deficiencies reduce the effectiveness of the diffusion operation in many image processing tasks, including segmentation, edge detection, compression, and multi-scale processing. This paper introduces a morphological diffusion coefficient capable of smoothing small objects while maintaining edge locality. Results are presented that demonstrate its efficacy in edge detection tasks.