Description: 图像分割算法，区域生长法，基于一个种子点分割脑部MRI图像-Image segmentation algorithm, region growing method, a seed point based on segmentation of brain MRI images Platform: |
Size: 38912 |
Author:alison |
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Description: 在matlab平台上实现对医学图像人脑部的分割采用c语言编写-In matlab platform to realize human brain medical image segmentation using c language Platform: |
Size: 39936 |
Author:吴风 |
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Description: matlab实现图像处理的程序，这是一个关于脑扫描图像分割的程序，很完整-matlab image processing procedures to achieve, this is a brain scan on the image segmentation process, it is a complete Platform: |
Size: 2140160 |
Author:zoe |
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Description: 医学图像分割的matlab程序，针对脑部肿瘤图像，使用水平集方法划分出肿瘤区域，内部包含测试程序-Medical image segmentation matlab program for brain tumor imaging, using the level set method into the tumor region, the internal test procedures include Platform: |
Size: 7609344 |
Author:林平塔 |
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Description: 用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-To do with the level set within the MRI brain image segmentation instructions (with graphical interface) Platform: |
Size: 52224 |
Author:姜波 |
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Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
Platform: |
Size: 2048 |
Author:pramod |
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Description: 图像分割，这是基于脑部的MRI图像的分割，其中有多个m文件-Segmentation, which is based on the MRI brain image segmentation, in which there are several m files Platform: |
Size: 1395712 |
Author:zhao |
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Description: my file contains matlab programs for direct watershed segmentation in digital image processing.
it computes the segmented region on different images like brain tumour, rice image etc. Platform: |
Size: 6144 |
Author:sakshi |
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Description: 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction. Platform: |
Size: 52224 |
Author:erdongchen1985 |
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Description: 这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction. Platform: |
Size: 45056 |
Author:erdongchen1985 |
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Description: 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model. Platform: |
Size: 40960 |
Author:erdongchen1985 |
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Description: 用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-是学生做毕业设计的时候，应该可以参考下的-To do with the level set in the MRI brain image segmentation has usage instructions (with graphical interface)- is designed for students to do graduate, it should be able to refer to the Platform: |
Size: 61440 |
Author:彭成新 |
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Search - brain image segmentation matlab