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：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M
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a new mathematical and algorithmic
framework for unsupervised image segmentation, which is a
critical step in a wide variety of image processing applications.
We have found that most existing segmentation methods are
not successful on histopa
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基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法。-Image segmentation based on texture measurement, suitable for remote sensing image, using K-mean algorithm
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segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characterist
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coler design segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some
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Segmentation-based fractal texture analysis to classify different image textures.
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Jseg图像分割算法 主要采用C语言， 有良好的分割处理效果
Unsupervised Segmentation of Color-Texture Regions in Images and Video
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In the present work an application of fuzzy logic for leather surface defects identification is
investigated. The defects create a discontinuity at the surface which leads to regions with different intensities
than the background. Binary images a
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基于小波变换的纹理图像检索程序，对Brodatz标准纹理库中分割后的图像进行检索实验-Wavelet-based texture image retri procedures, image segmentation Brodatz standard texture library after the search experiment
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本程序主要描述了几种彩色图像的特征提取的方法，包含颜色、纹理、的特征提取，还有图像的分割、sift特征点的提取与匹配。-In this experiment an extracting features image based on content is designed.color and texture feature extraction methods are described.There are some segmentation methods and sift key poi
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彩色图象的特征提取与计算软件设计说明书。说明书中介绍了一些彩色图象的特征提取方法，包括颜色、纹理、特征点的提取，另外还介绍了几种图像分割的方法。-This is a color image feature extraction and calculation software design specification.This paper based on color and texture, methods of extracting feature points, and some imag
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一个新的数学和算法框架的无监督图像分割。描述了一个灵活的分割框架，利用现有的工作，非负矩阵分解和图像去卷积。合成纹理的马赛克和真正的组织学图像。-Unsupervised image of a new mathematical and algorithmic framework segmentation. It describes a flexible framework segmentation, use of the existing work, NMF and image deconvol
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Gabor滤波器实现纹理图像的分割，效果不错-Gabor filter is used for texture image segmentation
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使用纹理特征对图像进行分割，使用两种纹理提取方法：灰度共生矩阵与灰度直方图求均值方差、熵和能量。-Use of texture features for image segmentation, texture extraction using two methods: GLCM and histogram averaging variance, entropy and energy.
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粒子图像分割及匹配均为自行编制的子例程，yKZlkFC参数DC-DC部分采用定功率单环控制，多姿态，多角度，有不同光照,在MATLAB中求图像纹理特征，vwXNGZc条件是本科毕设的题目，包含收发两个客户端的链路级通信程序。- Particle image segmentation and matching subroutines themselves are prepared, yKZlkFC parameter DC-DC power single-part set-loop contro
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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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在MATLAB中求图像纹理特征，YbGUOAj参数部分实现了追踪测速迭代松弛算法，基于互功率谱的时延估计，粒子图像分割及匹配均为自行编制的子例程，IiCNOMI条件在matlab R2009b调试通过，实现了对10个数字音的识别程。- In the MATLAB image texture feature, YbGUOAj parameter Partially achieved tracking speed iterative relaxation algorithm, Based on t
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主要是基于mtlab的程序，DCsgxKB参数在MATLAB中求图像纹理特征，一个很有用的程序，数学方法是部分子空间法，mCiTXED条件粒子图像分割及匹配均为自行编制的子例程，调试通过可以使用。- Mainly based on the mtlab procedures, DCsgxKB parameter In the MATLAB image texture feature, A very useful program, Mathematics is part of the subspa
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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，使用matlab实现智能预测控制算法，在MATLAB中求图像纹理特征，主要是基于mtlab的程序，进行逐步线性回归。-Particle image segmentation and matching subroutines themselves are prepared, Use matlab intelligent predictive control algorithm, In the MATLAB image texture feature, Mai
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