Description: Iterative Watershed Segmentation (IWS)
This code is free of charges and it can be used for demonstration and evaluation purposes only. It is not allowed to use this code in any commercial purpose.
The author s approval must be requested for any modification of the initial code as it is presented in the zip file available to download. The following point called \"Copyright text\" must always appear verbatim in the source codes and the license text.
There is no warranty about the results obtained using this code. This is a free code, so you use it at your own risks.-Watershed Segmentation (IWS) T his code is free of charges and it can be used for d emonstration and evaluation purposes only. It is not allowed to use this code in any commercial purpose. The author's approval must be requeste d for any modification of the initial code as it i 's presented in the zip file available to downloa d. The following point called "Copyright text" must always appear verbatim in the source codes and the license text. There is no warranty about the results obtained using this code. This is a f ree code, so you use it at your own risks. Platform: |
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Author:陈西 |
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Description: 对分水岭分割方法的多种标记方法,包括三个matlab文件。-watershed segmentation method for the multiple markers, including three Matlab document. Platform: |
Size: 1225 |
Author:林道庆 |
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Description: 图像的三种分水岭分割方法,一般分水岭分割,使用梯度的两次分水岭分割及使用梯度加掩模的三次分水岭算法-images of the three watershed segmentation method, the general watershed segmentation, gradient of the two watershed segmentation and the use of the gradient increases mask the three watershed algorithm Platform: |
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Author:yy |
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Description: In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.-In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected. Platform: |
Size: 302080 |
Author:Raksha |
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Description: 用于医学图像处理中肺部的分割算法,以分水岭算法为代表的分割方法-Segmentation algorithm for medical image processing in the lungs, as represented in the watershed segmentation algorithm Platform: |
Size: 690176 |
Author:lwwzyx |
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Description: 改进的分水岭分割算法,其中使用开闭运算,修改局部极大值-Improved watershed segmentation algorithm, in which opening and closing operation, modify the local maxima Platform: |
Size: 1024 |
Author:孙小明 |
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Description: 1.掌握线检测
2.边缘检测
3.多种边缘检测器的比较
4.使用梯度的分水岭分割
5.控制标记符的分水岭分割-1. The master line detection
2. The edge detection
3. A variety of edge detector
4. Using the gradient of the watershed segmentation
5. Control marker watershed segmentation Platform: |
Size: 5150720 |
Author:薛菲 |
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Description: 对输入原始图像求取梯度图像,对梯度图像做前景标记,即在输入图像的每一个目标中心做一个Marker(可手动选取,也可用阈值法得到),在梯度图像上用该Marker作局部极小值的标记,再进行水域变换,即可得到基于标记点的水域分割结果-Input original image to strike a gradient image of the gradient image make prospects mark that each center of the target input image to make a Marker (can be manually selected, can also be used to obtain threshold method), the gradient image as a local with the Marker pole mark lower value, and then convert the waters, the waters can be obtained based on marker segmentation results Platform: |
Size: 26624 |
Author:杨洁 |
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