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经典区域生长源码(区域增长),比起灰度阈值法有不可比拟的优势,一旦尝试,欲罢不能啊,只是,在实时性应用方面还有待改进,m代码编写易懂,易用,易改写成其他语言,如果改写成c,应该速度有所提高.请尽情享用-Classical region growing source (regional growth), compared to gray-scale threshold method has unparalleled advantages, once the attempt to stop ah,
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基于边缘检测和区域生长的自然彩色图像分割源码-Based on edge detection and region growing source of natural color image segmentation
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This code contains region growing segmentation algorithm to obtain the similar edges in color images
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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
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采用种子区域生长（seeded region growing）算法对灰度图像和彩色图像进行分割-The seed region growing (seeded region growing) algorithm for gray image and color image segmentation
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matlab image processing Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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Matlab 语言编写的用于彩色分割，边缘检测，基于区域生长的图像分割-Matlab color segmentation，edge detection，region growing image segmentation.
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一个种子为生长点的彩色图像区域生长程序。交互式Matlab实现-A seed for the growing point of color image region growing process. Each type of Matlab
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基于matlab的彩色图像分割实验，运用meanshift算法以及区域生长法，算法包含漏检数，正确率的计算。-Matlab-based color image segmentation experiments, the use of algorithms and meanshift region growing algorithm contains the number of missed, calculate the correct rate.
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区域生长算法分割彩色图片，使用时只需要更改主程序（HaralickGrowingAlgorithm.m）中的图片路径即可使用，属于Matlab程序，压缩文件中含有原始图片-color image segmentation based on region growing
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