RETRACTED: Indoor and outdoor image classification: A mixture of brightness, straight line, Euclidean shapes and recursive shapes based approach
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 14 October 2019
Issue publication date: 14 October 2019
Retraction notice
The publishers of International Journal of Intelligent Unmanned Systems wish to retract the article Velswamy, R., Devadass, S.C., Velswamy, K. and Venugopal, J. (2019), “Indoor and outdoor image classification: A mixture of brightness, straight line, Euclidean shapes and recursive shapes based approach”, International Journal of Intelligent Unmanned Systems, Vol. 7 No. 4, pp. 150-161. https://doi.org/10.1108/IJIUS-04-2019-0024
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions. The authors of this article would like to note that they do not agree with the content of this notice. The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
The purpose of this paper is to classify the given image as indoor or outdoor with higher success rate by mixing various features like brightness, number of straight lines, number of Euclidean shapes and recursive shapes.
Design/methodology/approach
For annotating an image, it is very easy, if the image is categorized as indoor or outdoor. Many methods are proposed to classify the given image in these criteria but still the rate of uncategorized images occupies considerable area. This proposed work is the extension of the existing works already proposed by experts in this field. Some of the parameters mainly focused to classify are color histogram, orientation of edges, straightness of edges, discrete cosine transform coefficients, etc. In addition to that, this work includes finding of Euclidean shapes i.e. closed contours and recursive shapes in the given image. When the Euclidean shaped object dominates the recursive shapes then it is classified as indoor object and if the recursive shapes dominates, it is categorized as outdoor object.
Findings
This work is carried out on the standard image data sets. The data sets are Microsoft Research Cambridge (MRC) object recognition image database 1.0. and Kodak and Coral image data set. Totally 540 images are taken into account and the images are classified 95.4 percent correctly.
Originality/value
Many methods are proposed to classify the given image in these criteria but still the rate of uncategorized images occupies considerable area. This proposed work is the extension of the existing works already proposed by experts in this field. Some of the parameters mainly focused to classify are color histogram, orientation of edges, straightness of edges, discrete cosine transform coefficients, etc. In addition to that, this work includes finding of Euclidean shapes i.e. closed contours and recursive shapes in the given image. When the Euclidean shaped object dominates the recursive shapes then it is classified as indoor object and if the recursive shapes dominates, it is categorized as outdoor object. This work is carried out on the standard image data sets. The data sets are MRC object recognition image database 1.0. and Kodak and Coral image data set. Totally 540 images are taken into account and the images are classified 95.4 percent correctly.
Keywords
Citation
Velswamy, R., Devadass, S.C., Velswamy, K. and Venugopal, J. (2019), "RETRACTED: Indoor and outdoor image classification: A mixture of brightness, straight line, Euclidean shapes and recursive shapes based approach", International Journal of Intelligent Unmanned Systems, Vol. 7 No. 4, pp. 150-161. https://doi.org/10.1108/IJIUS-04-2019-0024
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited