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Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over th
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两种不同的Gabor滤波器图像纹理特征提取方法。-Two different Gabor filter image texture feature extraction methods.
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根据Manjunath论文，gabor滤波器提取图像纹理特征，并按照纹理特征提取类似子图像-According to Manjunath papers, gabor filter to extract image texture features, and in accordance with sub-image texture feature extraction similar
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基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
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Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extens
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基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
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Laws特征提取例程。本例程对图像进行Laws纹理特征提取，得到1*25的特征向量。-Laws of feature extraction routines this routine Laws on image texture feature extraction, 1 x 25 feature vector
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用opencv实现LBP的图像纹理特征提取，实现旋转不变性-LBP with opencv image texture feature extraction to achieve rotational invariance
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LAWS纹理提取。能够对一幅图像实现LAWS纹理特征的提取，包括特征图像和能力信息。-LAWS texture extraction. LAWS able to achieve an image texture feature extraction, including the ability to feature images and information.
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图像纹理特征提取算法：灰度共生矩阵、像元形状指数-Texture feature extraction algorithm: GLCM, pixel shape index. .
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基于Gabor滤波的纹理特征提取程序，用于图像分割-Texture feature extraction based on Gabor filter program, used for image segmentation
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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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很好用的一个基于纹理特征提取的图像检索visual c++ 源代码-Good use of a texture feature extraction based image retrieval visual c++ source code
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MATLAB纹理特征提取可实现平均值、标准差、三阶矩，熵、平滑度一致性-MATLAB texture feature extraction
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一种简单的能运行的图像纹理特征提取的方法-A simple method of image texture feature extraction
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LBP纹理特征提取，主要是针对人脸表情的动态纹理特征进行分类！-LBP texture feature extraction, the main classification dynamic texture feature recognition is facial expression!
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灰度共生矩阵 提取纹理特征 vc6.0 -GLCM texture feature extraction
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利用灰度共生矩阵提取图像纹理特征的一种算法实现。-An algorithm using gray level co-occurrence matrix of image texture feature extraction.
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texture feature extraction insert into on the basis of rgb colore image clustering methods-texture feature extraction insert into on the basis of rgb colore image clustering methods
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matlab基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵
输入图像数据 返回八维纹理特征行向量
-Matlab co-occurrence matrix texture feature extraction, based on the d=1, theta =0 degrees, 45 degrees, 90 degrees, 135 degrees four matrix
The input image data to return to the
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