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文章基本信息

  • 标题:Content Based Image Retrieval using Color and Texture Content
  • 本地全文:下载
  • 作者:Suresh M B ; Dr.B Mohankumar Naik
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2017
  • 卷号:48
  • 期号:2
  • 页码:78-84
  • DOI:10.14445/22312803/IJCTT-V48P117
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper describes a hybrid feature extraction approach of our research and solution to the problem of designing a CBIR system manually. Two features are used for retrieving the images such as color and texture. Color feature is extracted by using different color space such as RGB, HSV and YCbCr. Texture feature is extracted by applying Gray Level Cooccurrence Matrix (GLCM). The image is retrieved by combining color and texture feature and the color space which gives the best result as analyzed using precision and recall graph.
  • 关键词:CBIR; GLCM; Image Texture; Color Spaces; Euclidean Distance; Image Retrieval; Precision; Recall.
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