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提出了一种基于小波和Hough 变换的仿射不变性商标检索方法. 根据商标图像色彩调、纹理简单的特点, 首先对商标图像进行二值化处理并做Hough 变换 -Proposed a Hough transform based on wavelet and affine invariance trademark retrieval method according to trademark the image color tone, texture characteristics of a simple
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功能：求两幅图像的相似度，进而用于图像检索
尽管一幅彩色图像包含成千上万种颜色,但在多数情况下,图像中少数几种颜色就涵盖了图像中的大多数的象素颜色。这些颜色被称为主色。一些研究表明:使用主色一般不会降低颜色匹配效果。因此考虑一种次优可行的基于聚类颜色特征的相似度计算方法。
-Function: Find the similarity of two images, and then used for image retrieval although a color image con
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基于颜色矩和纹理谱的图像检索系统，可是实现准确率高的检索-Spectrum based on color moments and texture image retrieval system, but to achieve high accuracy of the retrieval
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有关于bmp图像，基于HSV 颜色空间的图像检索方法-Image retrieval method based on HSV color space
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Signature Based Approach For Image Retrieval
Using Color Histogram And Wavelet Transform
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基于颜色的图像检索技术的实现，源程序可用，适用于毕业设计。-Based on the realization of the color image retrieval, source code available, apply to the graduation project.
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基于颜色与纹理特征的图像检索技术，中北大学硕士毕业设计论文-Image retrieval based on color and texture features, in North University master' s graduate design thesis
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本程序基于opencv可以提取图片的颜色直方图特征，可用于图像检索中作为颜色特征-This procedure is based on opencv can extract the image color histogram features, can be used as color features in image retrieval
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基于颜色与形状特征的图像检索系统，颜色直方图，傅里叶形状描述子，不变矩。-Image retrieval system based on color and shape 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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图像检索源代码，支持检索图像的格式为BMP，方法为基于颜色和边缘信息。-Image retrieval source code, supports the retrieval of image format as BMP, methods based on color and edge information.
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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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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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具体操作步骤如下：
1.输入带检索图像。
2.选择检索库路径。
3.选择检索方式：基于颜色特征、基于形状特征或者基于颜色和形状综合特征。
4.点击【开始检索】按钮即可得到检索结果。-Specific steps are as follows:
1 input with image retrieval.
2 Select retrieval library path.
3 Select the search method: Based on the color feat
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此程序实现了基于颜色特征的图像检索功能。-This procedure realize the function of image retrieval based on color feature.
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% 图像检索——纹理特征
%基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵
%所用图像灰度级均为256
%参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features
% based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
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