10 July 2009 An anisotropic diffusion equation based on multi-structural elements morphology
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Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74901C (2009) https://doi.org/10.1117/12.836692
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
To reduce the fuzziness of image edge detection and better preserve the edge locality,based on the morphological operator, a new anisotropic diffusion equation based on the multi-structural elements morphological operator is proposed in this paper. Its diffusion coefficient is dependent not only on the gradient of the image and the second derivatives,but on the multi-structural elements morphological operator,which is calculated by combining with morphological expansion and morphological corrosion, performing the size adjustment of the morphological structural elements,detecting multidirectional edges of image at different scales and integrating the edge characteristics for various scale.Experiments show that the more ideal image edges under the environment of existing noise are obtained,while he processed images have high fidelity and constrast.
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Jian-Ping Huang, "An anisotropic diffusion equation based on multi-structural elements morphology", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74901C (10 July 2009); doi: 10.1117/12.836692; https://doi.org/10.1117/12.836692
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