Open Access Open Access  Restricted Access Subscription Access

Image Retrieval System Using Hybrid Feature Extraction Technique


Affiliations
1 Dept. of CSE and MCA, NRI Institute of Technology, Agiripalli(V), Vijayawada, A.P, India
2 Dept. of IT, Gudlavalleru Engineering College, Gudlavalleru, A.P., India
3 MLR Institutions, Hyderabad, A.P., India
4 Dept. of CS and E, S.C.C.E.T, Hyderabad, A.P., India
 

Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is to evaluate the retrieval system based on Hybrid features. The texture features are extracted by using pyramidal wavelet transform and the shape features are extracted by using Fourier descriptor. And the hybrid technique is the combination of both texture and shape. The major advantage of such an approach is that little human intervention is required. It is ascertained that the performance is superior when the image retrieval based on the Hybrid features, and better results than primitive set.

Keywords

Feature Extraction, Hybrid Features, Image Retrieval.
User
Notifications
Font Size

Abstract Views: 389

PDF Views: 167




  • Image Retrieval System Using Hybrid Feature Extraction Technique

Abstract Views: 389  |  PDF Views: 167

Authors

Vadhri Suryanarayana
Dept. of CSE and MCA, NRI Institute of Technology, Agiripalli(V), Vijayawada, A.P, India
M. V. L. N. Raja Rao
Dept. of IT, Gudlavalleru Engineering College, Gudlavalleru, A.P., India
P. Bhaskara Reddy
MLR Institutions, Hyderabad, A.P., India
G. Ravindra Babu
Dept. of CS and E, S.C.C.E.T, Hyderabad, A.P., India

Abstract


Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is to evaluate the retrieval system based on Hybrid features. The texture features are extracted by using pyramidal wavelet transform and the shape features are extracted by using Fourier descriptor. And the hybrid technique is the combination of both texture and shape. The major advantage of such an approach is that little human intervention is required. It is ascertained that the performance is superior when the image retrieval based on the Hybrid features, and better results than primitive set.

Keywords


Feature Extraction, Hybrid Features, Image Retrieval.