Description: Mathematical Morphology in the field of digital image processing used more and more widespread, various forms of structures and algorithms are emerging. Mathematical morphology in order to set
Co-operation based on the basic idea is to use a certain form of structural element to measure the image shape to solve the problem understanding. The paper, by using cellular neural
Network (CNN), using mathematical morphology filtering timely completion of various mathematical patterns in parallel computing. In this paper, on CNN s global and local steady state
Theorem, that under certain conditions CNN can be reached by the stability of the dynamic process of mathematical morphology filter results. Its results used in the coal mine
Bunker image preprocessing, obtaining satisfactory results.
To Search:
- [mean] - various filtering algorithm, the value o
- [mayd] - nonlinear filtering in addition to noise
- [miniPS] - Image processing. Including the entropy,
- [NNandCNN] - Classical NN, CNN, algorithm description
- [CNN] - this is cellular neural network system p
- [CNN] - - usage of Centroid Neural Networks- ex)
- [ver_0.8] - CNN - Convolutional neural network class
- [Cellular-Neural-Network] - Cellular neural network (CNN) is very si
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基于膨胀／腐蚀运算的神经网络图像预处理方法及其应用研究.PDF
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