Title :
Algorithm of Relational Back in Image Retrieval Using SPA
Author :
Xian-yi, Cheng ; Yan, Zhu ; Lanshui, Shan
Author_Institution :
Coll. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang
Abstract :
Arming at the problem that the features of the trademark still keep invariant after rotation, scaling and changing of the initial point, an algorithm of relational back in image retrieval using SPA was presented in this paper. The algorithm first extracts five features, and initialized the weight of each feature, then modifies the weight until the feedback from users is over. Finally, a comparison between the algorithm presented in this paper and the algorithm using Hu moment as the feature vectors was made. The experiment indicates that the new algorithm has a good invariant property under translation scale and rotation and strong noise resistance.
Keywords :
feature extraction; image retrieval; Hu moment; image retrieval; relational back; translation scale; Application software; Computer science; Content based retrieval; Educational institutions; Feedback; Image retrieval; Information retrieval; Information technology; Shape measurement; Uncertainty;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.93