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Texture Segmentation using Gabor Filters 纹理图像分割 包括一个pdf文件，几个m文件
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本文详细介绍了指纹识别技术的预处理算法，其中包括MATLAB算法仿真部分和DSP实现部分，并着重研究了预处理算法中的指纹图像归一化、图象滤波增强、图像分割、二值化、细化等关键技术。本文提出了改进的Gabor滤波算法，同时对其他预处理部分算法进行了优化，并将傅立叶分析方法应用于指纹图象处理研究中，采用MATLAB实现了本文讨论的所有算法。-This paper describes a fingerprint recognition algorithm technologies, including
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通过构造加博函数进行加博滤波实现对指纹图像的分割-By constructing Gabor function Gabor filter is on the fingerprint image segmentation
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通过构造加博函数进行加博滤波实现对指纹图像的分割-By constructing Gabor function Gabor filter is on the fingerprint image segmentation
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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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mura检测的论文。First, a set of
real Gabor filters are applied to eliminating the global textured
backgrounds. Then, the level set method is employed for image
segmentation with a new region-based active contours model,
which is an improvement of t
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利用Gabor滤波器进行特征提取，在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”-Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection
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对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t
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kmean clustering based segmentation using gabor filter bank
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matlab基于gabor的图像分割程序-Image Segmentation
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基于Gabor变换的滤波器设计，用于图像处理中特征提取，图像分割-Gabor filter is used in image processing, feature extraction, image segmentation
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gabor filter and gabor wavelet is used for segmentation of retinal blood vessel segmentation
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基于自动分割的局部Gabor小波人脸表情识别算法 pdf格式的论文，其他地方下的，分享给大家。-Based on local Gabor wavelet automatic segmentation of facial expression recognition algorithm pdf format papers, elsewhere under for everyone to share.
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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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基于分割的局部Sigma语义特征点，是对场景中的语义目标进行建模。先在传统的图像分割基础上，分割出场景的前景目标，再结合像素位置、颜色、Gabor特征和LBP特征[构造出表征目标语义信息的协方差描述子，最后将其转换成欧式空间下的Sigma点特征，适用于标准SVM的场景学习和分类。(The segmentation based local Sigma semantic feature points are modeling the semantic objects in the scene. In
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该方法采用gabor提取出图像纹理特征，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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