Description: 利用区域生长法实现对图象的分割，此为C-C++代码-Realize the use of region growing segmentation of images, this is C-C++ Code Platform: |
Size: 1024 |
Author:王英 |
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Description: 一种基于最大类间方差和区域生长的图像分割法-Based on maximum between-cluster variance and the region growing image segmentation method Platform: |
Size: 381952 |
Author:隋航 |
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Description: C语言编写的图像分割程序，采用region growing区域生长算法，只能用于pgm灰度图-C language image segmentation procedures, the use of region growing region growing algorithm, can only be used for grayscale pgm Platform: |
Size: 3072 |
Author:丛威 |
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Description: 区域生长法进行图像分割的c++程序，以一个种子点进行区域生长-Region growing method of image segmentation c++ Procedures to a seed point for regional growth Platform: |
Size: 3815424 |
Author:葛秘蕾 |
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Description: 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, but, in real-time applications have yet to be improved, m coding easy to understand, easy to use, easy to rewritten into other languages, if rewritten into c, the speed should be improved. please enjoy Platform: |
Size: 1024 |
Author:zz |
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Description: 针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提
出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检
测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试,
结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值
-Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching
algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the
expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense
disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the
international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed
algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic
Platform: |
Size: 257024 |
Author:swx |
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Description: 一个基于c++的区域生长算法程序，从种子点选取到生长规则的确定，很详细。-C++-based region growing algorithm process, from seed selection to the growing point of identification of the rules in great detail. Platform: |
Size: 2048 |
Author:BITwushaoqing |
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Description: region growing file i downloaded from the internet in matlab code i hope its helpful but in need region growing source code in c# Platform: |
Size: 71680 |
Author:MonaRifaat |
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Description: 调用opencv库，用C++实现区域增长算法。有注释，比较通俗易懂。-Call to opencv library C++ achieve the region growing algorithm. Notes, is relatively easy to understand. Platform: |
Size: 10240 |
Author:liulu |
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Description: 用C语言实现区域增长，区域生长是一种很重要的图像分割方法。它是指从某个像素出发，比较相邻接像素的特征向量(包括灰度、边缘、纹理等特征)，在预先指定的准则下，若它们足够相似则作为同一区域合并，以此方式使相似特征的区域不断增长，最后形成分割图像。-Regional growth, regional growth is a very important image segmentation method using the C language. It refers to starting from a certain pixel, compare access pixels adjacent to the feature vectors (including gray scale, edge, texture, and other characteristics), in the pre-specified criteria, and if they are sufficiently similar to the merge as the same region, in this way similar characteristics region growing, and finally the formation of the divided image. Platform: |
Size: 2048 |
Author:yangyang |
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Description: 对目前几种在图像分割领域得到较多应用的交互式分割、区域生长分割以及阈值
分割算法进行了探讨,并且结合实际C T片图例分别进行分割实验研究,得到较为满意和
可用性强的结果. 实验表明: 阈值分割对于CT切片的效果最好 区域生长分割适宜于对面
积不大的区域进行分割,分割效果较好 基于动态规划的交互式分割算法比较复杂,计算时
间较长,但对于边缘较平滑的区域,同样具有较好的实际效果. 几种算法的评估为其在C T
图像分割上的实际应用提供了科学依据.-Several current get more applications in the field of interactive image segmentation segmentation, region growing segmentation and thresholding algorithm are discussed, and the actual CT slices legend experimental study divided separately, get more satisfaction and usability strong results. Experiment show: thresholding CT slices for the best region growing segmentation of the area is not suitable for the region segmentation, segmentation is better interactive segmentation based on dynamic programming algorithm is more complex, long computation time, but for edge smoother area, also has a good practical results. practical application evaluation of several algorithms for image segmentation in the CT provides a scientific basis. Platform: |
Size: 2048 |
Author:李祥霞 |
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Description: 对目前几种在图像分割领域得到较多应用的交互式分割、区域生长分割以及阈值
分割算法进行了探讨,并且结合实际C T片图例分别进行分割实验研究,得到较为满意和
可用性强的结果. 实验表明: 阈值分割对于CT切片的效果最好 区域生长分割适宜于对面
积不大的区域进行分割,分割效果较好 基于动态规划的交互式分割算法比较复杂,计算时
间较长,但对于边缘较平滑的区域,同样具有较好的实际效果. 几种算法的评估为其在C T
图像分割上的实际应用提供了科学依据.-Several current get more applications in the field of interactive image segmentation segmentation, region growing segmentation and thresholding algorithm are discussed, and the actual CT slices legend experimental study divided separately, get more satisfaction and usability strong results. Experiment show: thresholding CT slices for the best region growing segmentation of the area is not suitable for the region segmentation, segmentation is better interactive segmentation based on dynamic programming algorithm is more complex, long computation time, but for edge smoother area, also has a good practical results. practical application evaluation of several algorithms for image segmentation in the CT provides a scientific basis. Platform: |
Size: 308224 |
Author:李祥霞 |
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Search - region growing c