Research Article
Shape Based Image Retrieval Using Fused Features
@ARTICLE{10.4108/eai.31-10-2018.159916, author={Maria Abro and Shahnawaz Talpur and Nouman Qadeer Soomro and Nazish Aslam Brohi}, title={Shape Based Image Retrieval Using Fused Features}, journal={EAI Endorsed Transactions on Internet of Things}, volume={5}, number={17}, publisher={EAI}, journal_a={IOT}, year={2019}, month={1}, keywords={Fourier Descriptors, Hierarchical Centroids, Moment-based Features, SC Features, Features Fusion}, doi={10.4108/eai.31-10-2018.159916} }- Maria Abro
Shahnawaz Talpur
Nouman Qadeer Soomro
Nazish Aslam Brohi
Year: 2019
Shape Based Image Retrieval Using Fused Features
IOT
EAI
DOI: 10.4108/eai.31-10-2018.159916
Abstract
For content-based image retrieval, the shape is one of the most important discriminatory elements. The form captures most of the perceptual information of the observed objects on images in many applications, while colour and texture can often be omitted without affecting the performance of the retrieval. Unfortunately, there may be significant changes in shape, such as deformation, scaling, changes in orientation noise, and partial concealment. Accurate shape description remains, therefore, a challenging technical issue. The study performs experimental analysis to identify the problem. The adoption of the MPEG-7 and KIMIA-99 standard has significant importance to simplify the image retrieval process. The Fourier Descriptors, Moment-Based Features, Hierarchical Centroids and Histogram of Oriented Gradients have been applied for extraction of images from datasets. The fusion of features has been done by Discriminant Correlation Analysis and Direct Concatenation of features it has been evident that by fusion of features we obtained approximately 90% accurate and better results.
Copyright © 2019 Maria Abro et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
