Title :
An image retrieval approach based on annular color moments and energy moments features
Author :
Deng, Ying ; Yang, Shuangyuan
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
Abstract :
The energy moments based on Discrete Cosine Transform are presented as an efficient feature descriptor. Based on this, a new approach for image retrieval using integrated annular color moments and energy moments features is proposed. The experimental results show that the proposed method is not only very robust in terms of scale and rotation invariance but also efficient.
Keywords :
discrete cosine transforms; image colour analysis; image retrieval; discrete cosine transform; energy moments features; feature descriptor; image retrieval; integrated annular color moments; Brightness; Color; Content based retrieval; Discrete cosine transforms; Euclidean distance; Image databases; Image retrieval; Information retrieval; Pixel; Robustness; Discrete Cosine Transform; color moment; energy moment; image retrieval;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497753
