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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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区域生长（region growing）是指将成组的像素或区域发展成更大区域的过程。从种子点的集合开始，从这些点的区域增长是通过将与每个种子点有相似属性像强度、灰度级、纹理颜色等的相邻像素合并到此区域。它是一个迭代的过程，这里每个种子像素点都迭代生长，直到处理过每个像素，因此形成了不同的区域，这些区域它们的边界通过闭合的多边形定义。-Region growing (region growing) is the pixel will become the group into a larger r
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基于边缘检测和区域生长的彩色图像分割，设计论文+VC代码-Based on edge detection and region growing for color image segmentation
Design thesis+ VC code
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In this work, a new approach to fully automatic color
image segmentation, called JSEG, is presented. First, colors
in the image are quantized to several representing
classes that can be used to differentiate regions in the
image. Then, image
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彩色图像分割处理，采用区域生长方法进行，八邻域生长方式-color image region growing
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Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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matlab image processing Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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做一个简单的MFC界面，通过导入图片，实现区域生长算法，同时通过色彩标记区域。-Do a simple MFC interface, by importing images, region growing algorithm, at the same time through the color-coded regions.
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Cutpicture(form)做的是直方图统计：
第一步：读入图片，并将彩色图片用公式转化为灰度图像。
第二步：用区域生长法将图片分块并对每一块做直方图统计，用广度优先搜索完成，子程序是int flood_fill()。返回值是区域内的点的数量。判断是否属于同一块区域的条件是前面搜索得到的灰度平均值是否大于给定阈值（即threshold，由用户输入决定）。
第三步：任意两块区域对区域直方图的每个色阶比例的差的绝对值求和，若和小于阈值（即threshold2，由用户输入决定）则合并两
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用4领域和8领域跟踪算法解决一个边界跟踪问题，很详细，欢迎下载-With four fields and eight field boundary tracking algorithm to solve a tracking problem in great detail, welcome to download
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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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一种新的基于区域生长的彩色图像分割算法研究-A new segmentation algorithm for color images based on region growing
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An unsupervised and robust algorithm for segmenting color images
using graph theoretic concepts is proposed in this paper. A novel region
growing procedure is proposed for cycle (segments) formation and cycle
merging. Experiments were carried o
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这是点云库中的，基于色彩的区域增长算法的程序。-clour-based region growing point cloud
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