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 |
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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: HIT or MISS transform used to check if the given structuring element is present in the given image or not? If present then its HIT or else MISS. Platform: |
Size: 1024 |
Author:Manish |
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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: The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations.
3. Convolve each image in the Gaussian pyramid with each orientation filter.
4. Combine the results of step 3 to create the Feature Map.
5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1])
to cluster candidate text regions together.
6. Create final output image with text in white pixels against a plain black
background. Platform: |
Size: 2048 |
Author:Lee Kurian |
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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: 填补圈子之间的“漏洞”。 首先尝试使用半径为7的圆盘结构元素来关闭圆形图像，除了填充孔之外，还要附上结果图像以及您观察到的任何副作用。(Fill up the "holes" in between the circles.First try closing the circle image by a disk structuring element with radius 7, attach the result image and any side-effects you observe in addition to the filling of the holes.Then do you have any idea for just filling the holes without any side-effects?) Platform: |
Size: 1024 |
Author:wacy1
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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 element