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Optical Approach Based Omnidirectional Thermal Visualization
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International Journal of Image Processing (IJIP)
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Volume:  4    Issue:  3
Pages:  192-286
Publication Date:   July 2010
ISSN (Online): 1985-2304
Pages 
263 - 286
Author(s)  
Wai Kit Wong - Malaysia
Chu Kiong Loo - Malaysia
Way Soong Lim - Malaysia
 
Published Date   
10-08-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Image processing , Image representation, Omnidirectional vision, Thermal imaging, Architecture for imaging and vision systems 
 
 
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In this paper, a new optical approach based omnidirectional thermal visualization system is proposed such that it will provides observer or image processing tool a 360 degree viewing of surrounding area using a single thermal camera. By applying the proposed omnidirectional thermal visualization system, surrounding area even in poor lighting condition is under proper surveillance and the surrounding heating machineries/items can be monitored indeed. Infrared(IR) reflected hyperbolic mirrors have been designed and custom made for the purpose of reflecting omnidirectional scenes in infrared range for the surrounding area to be captured on a thermal camera, thus producing omnidirectional thermal visualization images. Five cost effective and market commonly available IR reflected materials use to fabricate the designed hyperbolic mirror are studied, i.e. stainless steel, mild steel, aluminum, brass, and chromium. Among these materials, chromium gives the best in IR reflectivity, with . Specifically, we introduce log-polar mapping for unwarping the captured omnidirectional thermal image into a panoramic view, hence provided observers or image processing tools a complete wide angle of view. Three mapping techniques are proposed in this paper namely the point sample, mean sample and interpolation mapping techniques. Point sample mapping technique is with greatest interest due to its lower complexity and moderate out put image quality. 
 
 
 
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Wai Kit Wong : Colleagues
Chu Kiong Loo : Colleagues
Way Soong Lim : Colleagues  
 
 
 
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