Scene illumination classification using illumination histogram analysis and neural network

Citation

Hesamian, Mohammad Hesam and Mashohor, Syamsiah and Saripan, M. Iqbal and Wan Adnan, Wan Azizun (2013) Scene illumination classification using illumination histogram analysis and neural network. In: 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013), 29 Nov.-1 Dec. 2013, Penang, Malaysia. (pp. 290-295).

Abstract

This study proposed a classification method to classify the considered image in the most similar illumination cluster rather than estimating an illumination value. This method categorizes the images based on inherent illumination data of scene and statistical features extracted from illumination histogram of image. It has advantages of high accuracy and flexibility of defining the classes. A trained neural network is taken into account in order to classify the image into predefined groups. Finally, for performance and accuracy evaluation we use misclassification error percentages and Mean Square Error (MSE).

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICCSCE.2013.6719976
Publisher:	IEEE
Keywords:	Illumination classification; Neural network; Histogram analysis
Depositing User:	Azian Edawati Zakaria
Date Deposited:	20 Nov 2015 01:39
Last Modified:	26 Oct 2018 07:39
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICCSCE.2013.6719976
URI:	http://psasir.upm.edu.my/id/eprint/41249
Statistic Details:	View Download Statistic

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