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搜索资源 - Image Retrieval Color Features
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按类粗分辨率对图像进行区域划分 ,再综合图像区域的颜色、 纹理特征实现有效检索-Coarse resolution of the images by type of regional division, and then integrated the image area of color, texture features for efficient retrieval
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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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Feature extraction for image retrieval:
This software extracts the four kinds of features,
1. Color histogram, color moments
2. Edge histogram
3. Gabor wavelets transform
4. Local Binary Pattern
5. GIST
-Feature extraction
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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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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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基于图像内容的图像检索代码，图像特征为颜色和SIFT特征，返回与查询图像相似的检索结果，程序绝对能够运行。-Content-based image retrieval code image, the image is characterized by color and SIFT features, similar to the query image and return search results, the program is definitely able to run.
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分布式图像检索，通过TCP\IP协议实现，图像特征为颜色特征-Distributed image retrieval via TCP \ IP protocol, the image is characterized by color features
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