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Published in: Wireless Personal Communications 1/2020

01-01-2020

Color Object Detection Based Image Retrieval Using ROI Segmentation with Multi-Feature Method

Authors: Rohit Raja, Sandeep Kumar, Md Rashid Mahmood

Published in: Wireless Personal Communications | Issue 1/2020

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Abstract

Nowadays content-based image retrieval (CBIR) framework is drawing in consideration of numerous analysts because of far-reaching applications found in numerous territories. In this paper, a new CBIR methodology is proposed and adequacy of any CBIR framework relies upon the features extracted from a color picture. In this work, firstly find the region of interest of the image using Sobel and Canny method and later on output is applied on HSV color space, it is clear to human vision eye. For classification, neural network is used and categorized the data with class labels. The similarity distance is estimated between the query image and stored image with different similarity metrics like Manhattan distance, Euclidean distance, Chebyshev, Hamming distance and Jaccard distance. The experimental result is estimated on accuracy, precision. The experiment performed on two well-known databases i.e.: Corel-1k and Corel-5k dataset and new methodology proves the better accuracy results up to 87.33% and 68.93% respectively and improves the precision results also up to 86.36% and 68.47% respectively. In this paper, results are also extended up to 80%.

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Metadata
Title
Color Object Detection Based Image Retrieval Using ROI Segmentation with Multi-Feature Method
Authors
Rohit Raja
Sandeep Kumar
Md Rashid Mahmood
Publication date
01-01-2020
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2020
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-07021-6

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