Description: 经由HSI彩色空间转换、Canny算子边缘检测、索书号边缘点彩色分割等步骤的索书号文字图像分割（内含源文件和所用图像）-through the HSI color space conversion, Canny operator edge detection, color Call edge points separate the steps of the characters image segmentation Call (intron source document and image) Platform: |
Size: 9216 |
Author:百里静 |
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Description: lab颜色模型下的图像分割方法，在matlab下编写，对生物图像很有用的。-lab model of color image segmentation methods in Matlab to prepare for biological images very useful. Platform: |
Size: 2048 |
Author:尹建军 |
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Description: 自己编写的使用聚类方法进行彩色图象分割 效果还可以-themselves prepared for the use of clustering methods color image segmentation can also effect Platform: |
Size: 1024 |
Author:hanxi |
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Description: 多维颜色直方图：：文中利用Matlab软件对真彩色图像高堆直方因数据的可视化进行了实践研究，并给出了
制作高雏直方图的相应程序。高雒直方图的可视化对真彩色图像分割中正确选择合适的彩色模型研
究起到了很好的作用。-multi-dimensional color histogram : : The authors use the Matlab software for true color images directly to the high rockfill for data visualization of practice, and given the high production of child histogram of the corresponding procedures. Luo high histogram visualization of the true color image segmentation correct choice of color model played a very good role. Platform: |
Size: 131072 |
Author:杨致远 |
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Description: 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers functions such as image file reading and writing, filtering, segmentation,
feature extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.-from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg Platform: |
Size: 2459648 |
Author:杨愚根 |
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Description: image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB Platform: |
Size: 1024 |
Author:Doris |
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Description: 这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you! Platform: |
Size: 209920 |
Author:郑强 |
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Description: this matlab code for color segmentation in given image -this is matlab code for color segmentation in given image Platform: |
Size: 31744 |
Author:gyanendra |
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Description: Color Segmentation. It activates your camera device and captures an image. Then, it displays an image of an R, G, B. Platform: |
Size: 3072 |
Author:seduex |
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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: 基于分水岭自动选取种子的区域生长来进行彩色图像分割-Automatically selected based on the watershed to the seed region growing for color image segmentation Platform: |
Size: 5120 |
Author:Image |
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Description: 1. 使用 RGB、索引和灰度级图像间转换的函数
2. 掌握彩色图像平滑的 MATLAB 仿真
3. 彩色图像锐化
4. RGB 彩色图像分割-1. The use of RGB, index and grayscale image conversion function
2. The master color image smoothing of MATLAB simulation
3. The color image sharpening
4. The RGB color image segmentation Platform: |
Size: 5054464 |
Author:薛菲 |
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Description: matlab彩色图形处理，包括全彩色图像处理基础，彩色变换，彩色图像平滑和锐化，彩色图像分割。-Matlab color graphics processing, including the full color image processing base, color transformation, color image smoothing and sharpening, color image segmentation. Platform: |
Size: 9922560 |
Author:higanbana |
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Search - color image segmentation matlab