An Adequate Approach to Image Retrieval Based on Local Level Feature Extraction
- Resource Type
- Authors
- Khan, Sumaira Muhammad Hayat; Hussain, Ayyaz; Imad Al Yaseen
- Source
- Mehran University Research Journal of Engineering and Technology, Vol 34, Iss 4, Pp 337-348 (2010)
Web of Science
- Subject
- Similarity Measure
lcsh:T
lcsh:TA1-2040
Edge Histogram Descriptor
Feature Vector
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Content Based Image Retrieval
lcsh:Q
lcsh:Engineering (General). Civil engineering (General)
lcsh:Science
lcsh:Technology
Feature Extraction
Fourier Descriptor
- Language
- English
- ISSN
- 2413-7219
0254-7821
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.