图像上的模糊数学形态 [英] fuzzy mathematical morphology on images
问题描述
我需要在图像上应用模糊数学形态学的指南.
模糊数学形态学使用模糊集理论的概念.我正在尝试探索图像处理中的模糊MM方法.模糊集的值应解释为隶属度而不是像素值.
模糊图像处理分为三个主要阶段:图像模糊化，隶属值修改和图像去模糊化.
参考文献:图像处理中的模糊数学形态学方法
模糊化和反模糊化步骤是由于我们没有模糊硬件而导致的.因此，图像数据的编码(模糊化)和结果的解码(模糊化)是使得可以使用模糊技术处理图像的步骤.在将图像数据从灰度平面转换为隶属平面(模糊化)之后，我想应用膨胀和腐蚀.
灰度图像可以在(第6页)中找到[De Baets，1997]对A的模糊扩张和B的模糊侵蚀(结构元素)的发现
M. Gonz´alez使用合取范数在模糊形态学中打开和关闭运算符
我正在尝试通过使用Matlab图像处理工具箱在灰度图像中进行Fuzzy MM扩张和腐蚀.但是很困惑该怎么办?我想在灰度图像中应用[De Baets，1997]定义.
您能为我说清楚点子吗?我是这个领域的新手.
感谢您的宝贵时间和合作.
问候，
Kazi
I need guide on applying fuzzy mathematical morphology on images.
Fuzzy Mathematical Morphology use concepts of fuzzy set theory. I am trying to explore Fuzzy MM approach in image processing. The values of a fuzzy set should be interpreted as degrees of membership and not as pixel values.
Fuzzy image processing has three main stages: Image fuzzification, modification of membership values, and image defuzzification.
Reference: Fuzzy Mathematical Morphology approach in Image Processing
The fuzzification and defuzzification steps are due to the fact that we do not possess fuzzy hardware. Therefore, the coding of image data (fuzzification) and decoding of the results (defuzzification) are steps that make possible to process images with fuzzy techniques. After the image data are transformed from gray-level plane to the membership plane (fuzzification), and then I want to apply dilation and erosion.
The Definition [De Baets, 1997] of fuzzy dilation and fuzzy erosion of A by B (Structuring Element)are the gray-scale images can be found in (page 6)
Opening and Closing Operators in Fuzzy Morphology Using Conjunctive Uninorms by M. Gonz´alez
I am trying to do Fuzzy MM dilation and erosion in gray scale images by using Matlab image processing toolbox. But confused how to do it? I want to apply [De Baets, 1997] definition in gray scale image.
Can you please make it more clear the idea for me? I am new in this area.
Thanks for your time and cooperation.
Regards,
Kazi
推荐答案
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http://www.mathworks.in/help/toolbox/images/f18-12508.html[^]
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