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: 该程序是MATLAB源程序,可以用来对纹理图像进行分割。-MATLAB source code of the procedure can be used for texture image segmentation. Platform: |
Size: 1024 |
Author:蔡琼 |
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Description: this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering. Platform: |
Size: 83968 |
Author:sidharth |
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Description: 纹理图像分割论文和代码,还算比较完整的,对做方面毕业设计的有点用!-Texture image segmentation papers and code are fairly more complete, to make the design a bit to use in graduate! Platform: |
Size: 2052096 |
Author:王光宇 |
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Description: 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by
decomposing the road detection process into two steps: the estimation
of the vanishing point associated with the main (straight) part
of the road, followed by the segmentation of the corresponding
road area based upon the detected vanishing point. The main
technical contributions of the proposed approach are a novel
adaptive soft voting scheme based upon a local voting region using
high-confidence voters, whose texture orientations are computed
using Gabor filters, and a new vanishing-point-constrained edge
detection technique for detecting road boundaries. Platform: |
Size: 4096 |
Author:邵文 |
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Description: 非常好的纹理分割,区域分割的matlab源代码,可用-Very good texture segmentation, region segmentation matlab source code can be used Platform: |
Size: 11362304 |
Author:陈力 |
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Description: Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be computational expensive, it has the limitation to very often lead to a local minimum because of the energy functional to be minimized is non-convex. In this work, we use the geometric active contours and the image thresholding frameworks to design a novel method for global image segmentation. The local lattice Boltzmann method is used to solve the level set equation. The proposed algorithm is therefore effective and highly parallelizable. Experimental results on satellite, natural and medical images demonstrate the effectiveness and the efficiency of the proposed method when implemented using an NVIDIA graphics processing units
The present Matlab code is the implementation of our work.
For using:
1- Open the main code (TAFGLSE.m),
2- Put the adress of the image you w Platform: |
Size: 529408 |
Author:许雄文 |
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