Description: 基于纹理分析的图像分割用滤波实现，需要先输入参数。％The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes -Based on Texture Analysis for Image Segmentation with filtering to achieve, need to input parameters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes Platform: |
Size: 3072 |
Author:yemaoqiu |
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Description: 基于小波变换的纹理图像分割，虽然不是我编的，但是希望对大家有用-Based on wavelet transform texture image segmentation, although not what I made, but I hope useful for everyone Platform: |
Size: 205824 |
Author:植韬荣 |
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Description: 过分割后区域合并代码。思想是在多尺度下，基于区域的色彩，纹理，形状信息的合并方法。-After the merger of over-segmentation region code. Thinking is in a multi-scale, region-based color, texture, shape information of the combined method. Platform: |
Size: 2048 |
Author:陶超 |
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Description: This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited simultaneously. Contours are treated in the intervening contour framework, while
texture is analyzed using textons. Each of these cues has a domain of applicability, so to facilitate cue combination we
introduce a gating operator based on the texturedness of the neighborhood at a pixel. Having obtained a local measure
of how likely two nearby pixels are to belong to the same region, we use the spectral graph theoretic framework of
normalized cuts to find partitions of the image into regions of coherent texture and brightness. Experimental results
on a wide range of images are shown. Platform: |
Size: 159744 |
Author:aan |
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Description: 本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割- in this test program, we calculate the cumulative histogram in a local
window centered at each pixel,this local cumulative histogram can be
used to drive the level set for image and texture segmentation.
Author: Associate Prof. Yuanquan Wang,
Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology,
School of Computer Science, Tianjin University of Technology, Tianjin 300191, China
01/20/2008
Reference:
1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007.
2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance,
at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf
or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf Platform: |
Size: 2048 |
Author:方可 |
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Description: 本文介绍了使用彩色纹理分割的彩色纹理分割聚类算法的多分辨率图像融合-The paper presents color texture segmentation using FCM for color texture segmentation based multi-resolution image fusion Platform: |
Size: 347136 |
Author:命运 |
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Description: 图像分割，这是基于脑部的MRI图像的分割，其中有多个m文件-Segmentation, which is based on the MRI brain image segmentation, in which there are several m files Platform: |
Size: 1395712 |
Author:zhao |
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Description: 用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation. Platform: |
Size: 37888 |
Author:王秋燕 |
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Description: A Texture based Tumor detection and automatic Segmentation. A thesis written in detecting tumors in x-ray or CT images. Field is into image processing. Platform: |
Size: 1111040 |
Author:alien muzik |
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Description: 提出了一种基于非下采样 Contourlet变换 ( NSCT)和马尔科夫随机场 (MRF)相结合的纹理图像分割算法。算法包括两
个步骤, 首先通过 NSCT实现对图像纹理特征的提取, 并使用模糊 C-均值完成对图像的初始分割 然后将初始分割结果用 MRF模型
表示, 通过贝叶斯置信传播得到图像的最终分割结果。实验结果表明, 对于纹理图像,该方法在分割错误率、 区域一致性以及边缘的
准确性方面都比传统小波变换的方法有了明显的改善。-A tex ture i m age seg m entation a l go rithm based on comb i nati on of non-down sa m pling Contourlet transfor m ( NSCT) andM arkov
rando m fi e l d model is proposed . The algorithm consists o f t wo steps . F ir st , the tex t u re f ea t ure of i m ag e is ex trac ted by NS CT, and the i m age
is seg m ented i n itia lly by fuzzy c- m eans Second , the pr i m aril y seg m ented results are expressed byMRF mode, l and the fi nal seg m entati on re-
s u lts are ga i ned v i a Bayes beli e f propag ati on . The exper i menta l resu lts show tha t this a l gor it hm is effecti ve fo r tex t ure i m age , it prov i desm uch
better res u lts i n erro r ra te o f segm enta tion , reg ion ho m ogene ity and edge accuracy than tho se of trad iti onal w ave let transf o r m ing m ethods Platform: |
Size: 216064 |
Author:jjdjjf |
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Search - texture based segmentation