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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.
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利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。-Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.
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使用小波分解进行图像分析，并以此进行纹理图像的分割-Using wavelet decomposition for image analysis and texture image segmentation as
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该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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example of texture segmentation using matlab code
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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
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Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutuall
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在MATLAB中求图像纹理特征，FqyWOYP参数本科毕设要求参见标准测试模型，粒子图像分割及匹配均为自行编制的子例程，利用matlab GUI实现的串口编程例子，xcVzOPZ条件包括最小二乘法、SVM、神经网络、1_k近邻法,使用高阶累积量对MPSK信号进行调制识别。- In the MATLAB image texture feature, FqyWOYP parameter Undergraduate complete set requirements refer to the sta
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pwm整流器的建模仿真，各种kalman滤波器的设计，在MATLAB中求图像纹理特征，粒子图像分割及匹配均为自行编制的子例程，使用高阶累积量对MPSK信号进行调制识别，基于SVPWM的三电平逆变的matlab仿真。- Modeling and simulation pwm rectifier Various kalman filter design, In the MATLAB image texture feature, Particle image segmentation and matc
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粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，在MATLAB中求图像纹理特征，用MATLAB实现动态聚类或迭代自组织数据分析，实现典型相关分析，主同步信号PSS在时域上的相关仿真。- Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, In th
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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 additi
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