Shape Based Image Retrieval Using Fused Features

Abro, Maria and Talpur, Shahnawaz and Soomro, Nouman and Brohi, Nazish (2019) Shape Based Image Retrieval Using Fused Features. EAI Endorsed Transactions on Internet of Things, 5 (17): 1. ISSN 2414-1399

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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.

Item Type: Article
Uncontrolled Keywords: Fourier Descriptors, Hierarchical Centroids, Moment-based Features, SC Features, Features Fusion
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor III.
Date Deposited: 17 Sep 2020 12:41
Last Modified: 17 Sep 2020 12:41

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