New fuzzy model for morphological colour image processing
New fuzzy model for morphological colour image processing
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DOI：
10.1049/ip-vis:20020380
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发表时间：
2002-11
期刊：
影响因子：
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通讯作者：
Gerasimos Louverdis;I. Andreadis;P. Tsalides
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文献类型：
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作者：
Gerasimos Louverdis;I. Andreadis;P. Tsalides
数学形态学是图像处理和二值、灰度和彩色图像分析的有力工具。本文提出了一种新的形态学彩色图象处理的有效模糊模型。提出了一种新的基于模糊if-then规则的矢量排序方案，并定义了腐蚀和膨胀等基本形态学操作。形态算子，这是矢量保持，是不敏感的图像失真，并执行显着优于其他形态算子的噪声去除问题。在真实的图像上的实验结果证明了这些优点。此外，说明性的例子，展示了所提出的框架的边缘检测问题的适用性。
Mathematical morphology is a powerful tool for image processing and analysis of binary, greyscale and colour images. An efficient new fuzzy model for morphological colour image processing is introduced. A new vector-ordering scheme that uses fuzzy if-then rules is proposed, and then the basic morphological operations of erosion and dilation are defined. The morphological operators presented, which are vector preserving, are less sensitive to image distortion and perform significantly better in noise removal problems than other reported morphological operators. Experimental results demonstrate these advantageous characteristics on real images. Additionally, illustrative examples that exhibit the applicability of the proposed framework to edge-detection problems are given.