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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 inten
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一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for
measuring the evidence for a boundary between two regions using a graph-based representation of the image. We
then develo
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基于像素点的全局阈值法求图像的分割
实现方法有五种：
最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法-Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum ent
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用c#语言使用全局迭代的方法对图像进行阈值分割。-Using c# language using the iterative method of global image threshold segmentation.
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Snake的初衷是为了进行图像分割，但它对初始位置过于敏感，且不能处理拓扑结构改变的问题。初始位
置的敏感性可以用遗传算法来克服，因为它是一种全局优化算法，且有良好的数值稳定性。为了更精确地进行图
像分割，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜
索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的
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基于一种新的二值化优化方法 与 实现：综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method
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region growing: Perform segmentation by region grow1ng.
[G, NR, SI, TI] = REGIONGROW(F, SR, T). Scan be an array (the same size as F) with a 1 at the coord1nates of every seed point and 0s elsewhere. S can also be a single seed value. Similarly, T
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，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜
索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的更精确的分割。将其应用于左心室MRI图像
的分割，取得了较好的效果。-This paper presents a genetic algorithm based on dual-T-Snake model f
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This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segment
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论文Active contours with selective local or global segmentation: a new formulation and level set method. Image and Vision Computing, vol.28, issue 4, pp.668-676, April 2010.的源代码.简单,容易学习-code for Paper K.H.Zhang, Lei Zhang, H.H.Song and W.Zhou.,Active c
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用一种算法自动从灰度图像上求得全局分割阈值，将一幅图像中的目标和背景分割开，设这幅图像的目标与背景有着不同的平均灰度，本实验采用灰度平均值。-Use an algorithm to complete global threshold segmentation. In this source file we use average gray level to distinguish the subject and the background.
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新发表论文Graph cuts based active contour model with selective local or global segmentation 附源码，基于图割的主动轮廓模型，用于有选择的局部分割或全局分割，欢迎下载！-Published Graph cuts based active the contour the model with selective local or global a segmentation attached source, the ac
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基于点的全局阈值法，即最大类间方差法，并基于Matlab软件环境进行算法的仿真。该系统能够对图像中某些感兴趣的部分进行提取，较好地实现了图像分割-Point-based global threshold method, the Otsu method, the simulation of the algorithm based on Matlab software environment. The system is able to extract some interesting part o
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采用全局阈值法对图像进行二值化阈值分割.过程需要迭代。-Using global threshold method of image binarization threshold segmentation process requires iteration.
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一维最大熵，最大类间差，迭代法，全局直方图，四种阈值分割算法MATLAB实现-One-dimensional maximum entropy, the largest class of poor, iterative method, global histogram, four threshold segmentation algorithm based on MATLAB realization
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主要包括常见的几种图像分割方法，包括全局阈值法、最小误差法、大律法、区域生长法、分水岭方法、分裂-合并方法-ncluding several common image segmentation methods, including global threshold, the minimum error method, large law, region growing, watershed method, split- consolidation method
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使用边缘改进全局阈值处理分割图像的matlab实现示例-Using edge process to improve global threshold segmentation image , matlab implementation examples
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数字图像分割，基于全局阈值的分割方法，分割图像的matlab实现示例-Digital image segmentation, the segmentation method based on global threshold and image segmentation of matlab implementation examples
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DFT.m:计算一幅图像的DFT，并在屏幕上显示频谱图，将频谱原点移到图像中间。
zhifangtu.m：用直方图均衡算法对一幅图像进行增强。
fenge.m：设计一种算法自动从灰度图像上求得全局分割阈值，将一幅图像中的目标和背景分隔开，使这幅图像的目标和背景有着不同的平均灰度。
gongshengjuzhen.m:求出一幅图像的像素和有下一个像素的共生矩阵。
OpenAndClose.m：实现二值形态学的膨胀、腐蚀、开操作、闭操作。-DFT.m: Calculates the
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图像处理，图像滤波分割算法的整合：包括大部分常用的图像背景分割和滤波手段，可以作为初学者参考，包括OTSU法，全局局部阈值分割，最大熵法-Image processing, image filtering algorithm integrated segmentation: Most common image including background segmentation and filtering means can be used as a reference for beginners
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