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文件名称:3glcm

  • 所属分类：
  • matlab例程
  • 资源属性：
  • [Matlab] [源码]
  • 上传时间：
  • 2013-07-03
  • 文件大小：
  • 4.27mb
  • 下载次数：
  • 0次
  • 提 供 者：
  • mrin*****
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  • 无
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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-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture feature extraction isobtained by using gray-level co-occurrence matrix (GLCM) orcolor co-occurrence matrix (CCM). Through the

quantification of HSV color space, we combine color features and GLCM as well as CCM separately. Depending on the former, image retrieval based on multi-feature fusion is achieved by using normalized Euclidean distance classifier. Through the image retrieval experiment, indicate that the use of color features and texture based on CCM has obvious advantage.-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-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture feature extraction isobtained by using gray-level co-occurrence matrix (GLCM) orcolor co-occurrence matrix (CCM). Through the

quantification of HSV color space, we combine color features and GLCM as well as CCM separately. Depending on the former, image retrieval based　on multi-feature fusion is achieved by using normalized Euclidean distance classifier. Through the image retrieval experiment, indicate that the use of color features and texture based on CCM has obvious advantage.
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下载文件列表





3glcm\image retrieval ppt.pptx

.....\image retrieval using both color and texture.doc

.....\Key paper1.pdf

.....\IMAGE RETRIEVAL USING BOTH COLOR AND TEXTURE FEATURES.pdf

.....\.RCT\image retrieval ppt.pptx

.....\....\image retrieval using both color and texture.doc

.....\....\Key paper1.pdf

.....\....\matlab.jpg

.....\....\guimain.fig

.....\....\IRCTF.m

.....\....\~$age retrieval using both color and texture.doc

.....\....\query\4.jpg

.....\....\.....\2.jpg

.....\....\.....\3.jpg

.....\....\.....\5.jpg

.....\....\.....\OneNote Table Of Contents.onetoc2

.....\....\.....\1.jpg

.....\....\train\18.jpg

.....\....\.....\20.jpg

.....\....\.....\10.jpg

.....\....\.....\7.jpg

.....\....\.....\12.jpg

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.....\....\.....\9.jpg

.....\....\.....\2.jpg

.....\....\.....\8.jpg

.....\....\.....\13.jpg

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.....\....\.....\19.jpg

.....\....\.....\3.jpg

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.....\....\.....\14.jpg

.....\....\.....\17.jpg

.....\....\.....\11.jpg

.....\....\.....\Thumbs.db

.....\....\.....\5.jpg

.....\....\.....\OneNote Table Of Contents.onetoc2

.....\....\.....\1.jpg

.....\....\.....\4.JPG

.....\....\guimain.m

.....\....\OneNote Table Of Contents.onetoc2

.....\....\IMAGE RETRIEVAL USING BOTH COLOR AND TEXTURE FEATURES.pdf

.....\....\query

.....\....\train

.....\IRCT

3glcm

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