Description: 图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
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Size: 9216 |
Author:Jack Tan |
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Description: 分割树的实现（1.4版本）
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这个软件包包含MATLAB实现了低层次多尺度
[1]中描述的分层分割算法。
介绍
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低级别的图像分割的目标是检测到的所有图像区域
不论其形状，大小和内部同质化的水平。在这里，
地区被建模为一个斜坡边缘包围的像素连通集
这些不连续的幅度较大相比，连续性
区域内的变化。-Segmentation Tree Implementation (version 1.4)
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This package contains a MATLAB implementation of the low-level multiscale
hierarchical segmentation algorithm described in [1].
Introduction
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The goal of low-level image segmentation is to detect all image regions
regardless of their shapes, sizes, and levels of interior homogeneity. Here, a
region is modeled as a connected set of pixels that is surrounded by ramp edge
discontinuities where the magnitude of these discontinuities is large compared
to the variation inside the region. Platform: |
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Author:jjdjjf |
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Description: 为了提高纹理图象分割的边缘准确性和区域一致性以及降低分割错误率, 提出了一种基于小波变换的利
用特征加权来进行纹理分割的方法. 该方法包括特征提取、预分割和后分割 3 个阶段, 其中, 特征提取在金字塔结
构小波变换的基础上进行 预分割利用均值聚类算法来对原始图象进行初步的分割 后分割则根据预分割的结果
对特征进行加权, 然后利用最小距离分类器来实现图象的最后分割. 与传统的方法相比, 该方法在分割错误率、边
缘准确性以及区域一致性等方面均有明显的改善-To imp rove the accuracy of boundary locat ions and region homogeneity as w ell as to reduce the er ro r
rate in texture image segmentat ion, a novel app roach based on w avelet2t ransfo rm and using feature w eigh t ing is
p ropo sed in th is paper . Th is new technique contains th ree consecut ive stages: feature ext ract ion, p re2segmentat ion
and po st2segmentat ion . In the feature ext ract ion stage, texture features are ext racted by using the pyram id2st ruc2
tured w avelet t ransfo rm. The o r iginal image is then segmented init ially using themeans cluster ing algo r ithm in the
p re2segmentat ion stage . A cco rding to the p re2segmentat ion results, the ext racted features are w eigh ted and the
p re2segmented image is fur ther p rocessed w ith a m inimum distance classif ier in the po st2segmentat ion stage to f i2
nally get the segmented image . A ll technical po ints are clear ly descr ibed and p resented in detail . Some segmenta2 Platform: |
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Author:jjdjjf |
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Description: Chan-Vese模型是基于区域的几何活动轮廓模型,此模型根据灰度级的同质性进行分类，图像域包括背景区域与前景区域。-Chan-Vese geometric model is region-based active contour model, this model are classified according to the gray level of homogeneity, including the background image field area and the foreground area. Platform: |
Size: 986112 |
Author:ls |
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Search - region homogeneity