Author(s):
1. SUMAIRA MUHAMMAD HAYAT KHAN:
Department of Computer Science, International Islamic University, Islamabad, Pakistan
2. AYYAZ HUSSAIN:
International Islamic University Malaysia, Selangor, Malaysia.
3. IMAD FAKHRI TAHA AL SHAIKHLI:
International Islamic University Malaysia,Selangor,Malaysia
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.
Page(s):
337-348
DOI:
DOI not available
Published:
Journal: Mehran University Research Journal of Engineering and Technology, Volume: 34, Issue: 4, Year: 2015
Keywords:
feature extraction
,
similarity measure
,
Fourier Descriptor
,
Content Based Image Retrieval
,
Edge Histogram Descriptor
References:
References are not available for this document.
Citations
Citations are not available for this document.