Description: Description: A faster implementation of binary dilation and erosion.
Our functions take advantage of MATLAB s decomposition of the structuring element but they may result much faster. Try to run example.m to see the speed improvement factor, changing the parameters. Platform: |
Size: 6302 |
Author:gz |
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Description: Description: A faster implementation of binary dilation and erosion.
Our functions take advantage of MATLAB s decomposition of the structuring element but they may result much faster. Try to run example.m to see the speed improvement factor, changing the parameters. Platform: |
Size: 6144 |
Author:gz |
Hits:
Description: Binary erosion and dilation, with fast iterative calls.
For any structuring element other than square or disk this function is way faster than imerode.m and imdilate.m (more than an order of magnitude). It s also handy when you don t have the Matlab Image Processing Toolbox :-)...
It also allows very fast iterative calls (for instance when sweeping the structuring element while looking for a certain effect, threshold in image statistics, etc).
See the help in bmorph.m and the attached .pdf file.-Binary erosion and dilation, with fast iterative calls.
For any structuring element other than square or disk this function is way faster than imerode.m and imdilate.m (more than an order of magnitude). It s also handy when you don t have the Matlab Image Processing Toolbox :-)...
It also allows very fast iterative calls (for instance when sweeping the structuring element while looking for a certain effect, threshold in image statistics, etc).
See the help in bmorph.m and the attached .pdf file. Platform: |
Size: 155648 |
Author:tudor |
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Description: 很齐全的VC示例，根据书本例子编写。介绍了数学形态学中结构元素为4连通或8连通的3×3邻域时腐蚀、膨胀运算的快速算法。区域采用线段编码表示，腐蚀与膨胀运算在当前线段与其相邻的上下线段之间通过逻辑运算实现。 -In this paper, a fast algorithm of mathematical morphology erosion and dilation operation for 3×3 neighborhood structuring element with 4-connectivity or 8-connectivity is presented. Regions are marked with line segment encoding technique. Platform: |
Size: 7894016 |
Author:Cyy |
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Description: Morphological transformations are some simple operations based on the image shape. It is normally performed on binary images. It needs two inputs, one is our original image, second one is called structuring element or kernel which decides the nature of operation. Platform: |
Size: 3571712 |
Author:khicon
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Description: Dilation is one of the basic operations in mathematical morphology. Originally developed for binary images, it has been expanded first to gray scale images, and then to complete lattices. The dilation operation usually uses a structuring element for probing and expanding the shapes contained in the input image. Platform: |
Size: 18432 |
Author:faisel |
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Description: Morphological transformations are some simple operations based on the image shape. It is normally performed on binary images. It needs two inputs, one is our original image, second one is called structuring element or kernel which decides the nature of operation. Two basic morphological operators are Erosion and Dilation. Then its variant forms like Opening, Closing, Gradient etc also comes into play. We will see them one-by-one with help of following Platform: |
Size: 59392 |
Author:sph |
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Search - structuring dilation