An Adequate Approach to Image Retrieval Based on Local Level Feature Extraction
Journal: Mehran University Research Journal of Engineering and Technology (Vol.34, No. 4)Publication Date: 2015-10-01
Authors : Sumaira Muhammad Hayat Khan; Ayyaz Hussain; Imad Fakhri Taha Al Shaikhli;
Page : 337-348
Keywords : Content Based Image Retrieval; Feature Extraction; Feature Vector; Similarity Measure; Edge Histogram Descriptor; Fourier Descriptor;
Abstract
Image retrieval based on text annotation has become obsolete and is no longer interesting for scientists because of its high time complexity and low precision in results. Alternatively, increase in the amount of digital images has generated an excessive need for an accurate and efficient retrieval system. This paper proposes content based image retrieval technique at a local level incorporating all the rudimentary features. Image undergoes the segmentation process initially and each segment is then directed to the feature extraction process. The proposed technique is also based on image?s content which primarily includes texture, shape and color. Besides these three basic features, FD (Fourier Descriptors) and edge histogram descriptors are also calculated to enhance the feature extraction process by taking hold of information at the boundary. Performance of the proposed method is found to be quite adequate when compared with the results from one of the best local level CBIR (Content Based Image Retrieval) techniques.
Other Latest Articles
- Meta-Heuristic Cuckoo Search Algorithm for the Correction of Faulty Array Antenna
- The Frequency Control in the islanded Micro Grid by using STATCOM Controllers
- Exact Solutions on the Oscillating Plate of Maxwell Fluids
- Translating Activity Diagram from Duration Calculus for Modeling of Real-Time Systems and its Formal Verification using UPPAAL and DiVinE
- Estimation of Energy Potential from Organic Fractions of Municipal Solid Waste by Using Empirical Models at Hyderabad, Pakistan
Last modified: 2016-01-10 01:09:33