Content based Image Retrieval using Combination between Moment and DCT Methods

نویسندگان

  • Salah Sleibi Al-Rawi
  • Ahmed Tariq Sadiq
  • Ahmed Fawzi Shafeeq
چکیده

In this paper a content based image retrieval CBIR is introduced, a color is one of the important features in image processing and CBIR so the Discrete Cosine Transform (DCT) and Color Moment(CM) used to extract features of a query image to compare with image feature in database, the two methods DCT and Color Moment have best result when apply the program by using WANG database images and test 100 image from the database 10 image from each class, the average retrieval of precision of combination DCT and moment with constant weights was 89.3% and the best results were obtained from making the weights variable was 90.7%. and the best results were obtained from dinosaurs , elephants, flowers classes. General Terms Image retrieval , combination algorithms , Content Based Image Retrieval .

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تاریخ انتشار 2013