Description: 利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation Platform: |
Size: 1024 |
Author:岳碧波 |
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Description: 基于VS2005的CT图像分割算法，在医学图像处理领域有重要作用。-VS2005 the CT-based image segmentation algorithm, in the field of medical image processing has an important role. Platform: |
Size: 83968 |
Author:wenhu |
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Description: OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.- OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images. Platform: |
Size: 2048 |
Author:ltrko9kd |
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Description: 用几何变形模型进行医学图像分割，硕士论文，值得下载。-Using geometric deformable models for medical image segmentation, master s thesis, it is worth download Platform: |
Size: 4843520 |
Author:青青 |
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Description: 图像分割处理，运行与VC平台，可以很容易提取c源码。我的毕业论文就是靠它的一份力量-Image Segmentation deal, run with the VC platform, can easily retrieve c source. My thesis is that a force relied Platform: |
Size: 856064 |
Author:亮亮 |
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Description: 基于meanshift的图像分割算法，使用C语言实现-Meanshift based image segmentation algorithm, using C language implementation Platform: |
Size: 19456 |
Author:张其 |
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Description: 基于em算法的图象分割程序,是图象分割的一类重要算法.-Em algorithm based on image segmentation process of image segmentation are essential for a class of algorithms. Platform: |
Size: 3072 |
Author:留云 |
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Description: A Spatially-Constrained Mixture Model for Image Segmentation, by
K. Blekas, A. Likas, N. Galatsanos and I. Lagaris-A Spatially-Constrained Mixture Model for Image Segmentation, by
K. Blekas, A. Likas, N. Galatsanos and I. Lagaris Platform: |
Size: 29696 |
Author:cobble |
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Description: Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can get more details. Open to use Platform: |
Size: 31744 |
Author:南风吹 |
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Description: 基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序-Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines Platform: |
Size: 2048 |
Author:hahadinghaha |
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