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计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量
-Computing to GLCM the Matlab program, the reference input color space and texture feature-based image retrieval, image data, return to the eight-dimensional texture feature row vector
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利用Gabor提取图像的纹理特征用于图像检索。-Gabor extract image texture features for image retrieval.
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有关纹理的图像检索算法,利用双树复小波提取图像的纹理特征-Texture image retrieval algorithm using tree complex wavelet extraction image texture features
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用Java写的图像检索代码,基于颜色,纹理和形状等特征-Image Retrieval code written in Java, based on characteristics such as color, texture and shape
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Image Retrieval Based On Color and Texture Features
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基于内容的图像信息检索,主要采用小波纹理的方法进行检索。-Content-based image retrieval, mainly using Wavelet texture method to retrieve.
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基于颜色特征和纹理特征的图像检索,请多多指教!-Image retrieval based on color and texture features, a great weekend!
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计算图像的灰度共生矩阵,及相关的纹理信息,主要用于图像检索和分类-Calculate the image gray level co-occurrence matrix, and the texture information, mainly for image retrieval and classification
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基于内容的图像检索(Content-based Image Retrieval,简称CBIR)技术被提出。这一技术的出现提高了图像检索的准确性,它通过提取图像本身的内在客观特征如颜色、纹理、形状、布局等关系,并比较这些视觉特征间的相似性,自动搜索出符合用户要求的图像。-Content-based image retrieval (Content-based Image Retrieval, referred to as CBIR) techniques have been proposed. T
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基于内容的图像检索 基于颜色、纹理、形状的图像检索
基于区域的图像检索
基于语义的图像检索
相关反馈
-Based on the content-based image retrieval based on color, texture, shape-based image retrieval region-based image retrieval based on semantic image retrieval relevance feedback
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基于图像内容的检索(颜色和纹理特征)。由于里面用到的库可能和你配置不一样,需要自己配置下。-Based image retrieval (color and texture). Which used the database may be configured and you do not need their own configuration.
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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综合多个特征的图像检索,包括颜色、形状和纹理等-Integrated multiple features for image retrieval, including color, shape and texture
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基于颜色和纹理的综合图像检索方法论文,图像部分采用颜色直方图方法,纹理部分采用灰度共生矩阵特征向量方法-Integrated based on color and texture image retrieval papers, part of the image using the color histogram method, part of the use GLCM texture feature vector approach
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基于纹理谱描述子的图像检索参考书籍,应用于图像检索,与Gabor纹理特征相比较,该纹理谱描述子特征提取速度快,检索准确率高-Spectrum descr iptor based on the texture image retrieval, applied to image retrieval, and Gabor texture features compared to the texture spectrum descr iptor feature extraction speed, hig
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基于纹理结构的图像检索,matlab实现。-Texture-based image retrieval, matlab achieve.
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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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基于LBP纹理的图像检索,亲测可用,小白能看懂(LBP texture based image retrieval, pro test can be used, Xiao Bai can understand)
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基于人类对纹理的视觉感知的心理学的研究,Tamura等人提出了纹理特征的表达。Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性,分别是粗糙度(coarseness)、对比度(contrast)、方向度(directionality)、 线像度(linelikeness)、规整度(regularity)和粗略度(roughness)。其中,前三个分量对于图像检索尤其重要。(Based on the study of human psychology for visual perc
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基于纹理的图像检索技术含C++与MATLAB(Technology with C++ and MATLAB texture based image retrieval)
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