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It is a powerpoint presentation of comparative study of RFCM AND RCM AND FCM Algorithms for image segmentation
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image segmentation: introduction of graph cut, grab cut, normalize cut,-image segmentation: introduction of graph cut, grab cut, normalize cut,...
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Image segmentation: classification-neural network, SVM,-Image segmentation: classification-neural network, SVM,...
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立体视觉Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.-Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.
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code for adaptive color image segmentation
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This paper is about MRI (Medical image) segmentation code.
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Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feat
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为了减少alpha-expansion算法的计算量，本文在标号为alpha的像素向其它像素膨胀的过程中，先隔离非alpha类间的联系，而只考虑alpha类与非alpha类之间的关系，从而避免alpha-expansion算法需要构造辅助结点的问题，减少了s/t图中边的数目，提高了算法的计算效率。因放松了非alpha类间的关系对alpha膨胀的约束，使得算法可以更容易得跳出能量函数的局部极小点而获得更优的分割结果。-In order to reduce alpha- expansion algor
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对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t
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利用matlab实现图像处理里的实现图像边缘检测、图像分割、特征提取以及图像数字识别等任务。
对图像分别进行模糊、锐化、和直方图均衡化处理，画出处理结果。实现整幅图像的边缘检测，可以看出有肖像画或素描的效果，画出处理结果。-Matlab realize image edge detection in image processing, image segmentation, feature extraction and image numeral recognition task. Fuzz
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本文在众多图像分割方法中选择了研究比较早的边缘检测方法来实现图像的分割，并且比较了各种边缘检测算子的检测效果。-This text choose EdgeDetection method that is a study early for image segmentation to carry out Detection image, and compare every kind of edge detection technique.
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利用水平集方法进行随机图像的分割，是水平集方法的新的应用-The level set method for a random image segmentation is a new application of the level set method
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
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Image Segmentation.
A central problem, called segmentation, is to distinguish objects from background [10]. For intensity images (ie, those represented by point-wise intensity levels) four popular approaches are: threshold techniques, edge-based
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matlab_图像分割算法源码 有很多经典的分割代码 可以应用于具体图像的操作中-image segmentation matlab source code
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matlab程序代码 关于医学图像分割处理 边缘检测 阈值法-Matlab program code on the segmentation of medical image processing edge detection threshold method
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对图像分割方法进行描述，对各种分割方法进行总结讲解，讲解区别特点-Described method for image segmentation, segmentation methods to summarize the various explanations, to explain the difference between features
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Image segmentation abstract
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color based segmentation is a very important topic in image processing world.
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image processing algorithm for image detection
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