Description: 这个源码是用遗传算法对FCM 算法进行改进后的算法，实现了对脑图像的自动分割，速度较快-the source is using genetic algorithms to FCM algorithm for improved algorithm, achieving the right brain's automatic image segmentation, faster Platform: |
Size: 839 |
Author:王强 |
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Description: 图像分割中阈值的自动选取的研究及其算法实现,文本格式-image segmentation threshold value of the automatic selection of research and its algorithm, the text format Platform: |
Size: 3002 |
Author:小伟 |
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Description: 自动地otsu 二值图像分割方法，该方法也叫 基于最大类间方差地 图像二值分割方法，希望大家喜欢-otsu two automatic image segmentation methods, The method is also called for the maximum variance to image two segmentation methods, hope you like Platform: |
Size: 1155 |
Author:Cong Yang |
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Description: 基于主动轮廓的用于椭圆或圆检测的一篇文献。此文献的应用背景为眼底图像的分割。
-Based on Active Contour for oval or a circle detection literature. Application of this literature background for fundus image segmentation. Platform: |
Size: 175104 |
Author:smallmule |
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Description: 实现遥感图像的自动区域生长，无需选择种子点，实现图像的自动区域分割。-Remote sensing imagery to achieve an automatic region growing, the need to choose the seed point, automatic image segmentation. Platform: |
Size: 62464 |
Author:黄天 |
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Description: 图象分割是图象处理中的一项重要工作，目前手工与自动相结合的分割方法在实际工作中得到了广泛应用。本文根据图象经Maar变换后的特征，采用新的判断准则，提出了一种复杂物体边缘定位算法，可以对具有尖角特征的物体轮廓进行快速准确地提取，同时利用矢量化方法消除毛刺，使跟踪获得的边界更符合物体的实际轮廓特征。对多种图象的实验表明本文方法十分有效。-Image segmentation is an important image processing, the current combination of manual and automatic segmentation method in practical work has been widely used. Based on the image transformed by Maar features a new criterion is proposed positioning algorithm is the edge of a complex object, you can have the angular features of the contour to quickly and accurately extract, while taking advantage of vector-based approach removes the burr, to trace the border to obtain more in line with the actual contours of the object features. Images of a variety of experiments show that this method is very effective. Platform: |
Size: 882688 |
Author:zoubinbin |
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Description: 基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。-K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation. Platform: |
Size: 2048 |
Author:王远 |
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Description: 为了提高白细胞自动识别算法的性能,提出了基于均值移动和单类支持向量机的血细胞图像分割新方法. 该方法的原理是将图像中颜色相对稳定的背景和红细胞部分像素作为正训练样本,将颜色复杂多样的白细胞像素作为异常数据检测. 均值移动过程用来在红、绿、兰(RGB) 颜色空间寻找正训练样本集,通过均匀抽样和颜色量化措施,实现单类支持向量机(SVM) 在线实时训练,最终图像像素经过单类SVM 分类来实现分割. 实验表明,新方法对涂片制备和光照变化导致的图像颜色改变有很好的适应性,图像分割精度优于常用流域算法,而耗时只是后者的1/ 4.-In order to improve the performance of automatic recognition of white blood cells, was proposed based on mean shift and single-class support vector machine blood cell image segmentation. The principle is relatively stable color image in the background and the red part of the pixel as being Platform: |
Size: 440320 |
Author:罗朝辉 |
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Description: 图像自动切分DLL，利用KODAK控件，最好用的图像切分程序-Automatic image segmentation DLL, use KODAK control, the best procedure to use the image segmentation Platform: |
Size: 243712 |
Author:songwang |
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Description: 交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segmentation software based on Yuri Boykov and Marie-Pierre Jolly’s work on “Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images” (ICCV 2001) Platform: |
Size: 837632 |
Author:xiaohai |
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Description: 针对邮局业务的自动化、信息化,设计了给据函件的自动登单处理系统. 基于图像处理和模式识别的理论,
提出了一种图像分割方法.实验结果表明,该方法比较成功地实现了复杂的信封背景下有用信息的提取和存档-For the post office business automation, information technology, design, according to the letter of automatic single-board processing system based on the theory of image processing and pattern recognition, proposed an image segmentation method. The experimental results show that this method is relatively successful in implementing complex Useful envelope under the background of extracting and archiving information Platform: |
Size: 147456 |
Author:naipab |
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Search - automatic image segmentation