Research Article
Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection
@ARTICLE{10.4108/eai.20-10-2015.150097, author={Sayantan Nath and Sonali Agarwal and G.N. Pandey}, title={Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={2}, number={5}, publisher={EAI}, journal_a={CT}, year={2015}, month={10}, keywords={inter-connectivity, event-calculus, thermal imaging, abstract algebra, mathematical foundation, DAGSVM.}, doi={10.4108/eai.20-10-2015.150097} }- Sayantan Nath
Sonali Agarwal
G.N. Pandey
Year: 2015
Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection
CT
EAI
DOI: 10.4108/eai.20-10-2015.150097
Abstract
In this paper, integration between multiple functions of image processing and its statistical parameters for intelligent alarming series based fire detection system is presented. The proper inter-connectivity mapping between processing elements of imagery based on classification factor for temperature monitoring and multilevel intelligent alarm sequence is introduced by abstractive canonical approach. The flow of image processing components between core implementation of intelligent alarming system with temperature wise area segmentation as well as boundary detection technique is not yet fully explored in the present era of thermal imaging. In the light of analytical perspective of convolutive functionalism in thermal imaging, the abstract algebra based inter-mapping model between event-calculus supported DAGSVM classification for step-by-step generation of alarm series with gradual monitoring technique and segmentation of regions with its affected boundaries in thermographic image of coal with respect to temperature distinctions is discussed. The connectedness of the multifunctional operations of image processing based compatible fire protection system with proper monitoring sequence is presently investigated here. The mathematical models representing the relation between the temperature affected areas and its boundary in the obtained thermal image defined in partial derivative fashion is the core contribution of this study. The thermal image of coal sample is obtained in real-life scenario by self-assembled thermographic camera in this study. The amalgamation between area segmentation, boundary detection and alarm series are described in abstract algebra. The principal objective of this paper is to understand the dependency pattern and the principles of working of image processing components and structure an inter-connected modelling technique also for those components with the help of mathematical foundation.
Copyright © 2015 S. Nath 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.