NDLI: Extraction of relief information on textured and coloured rough surfaces for the optimisation of a propagation model for wireless transmission

Content Provider	IEEE Xplore Digital Library
Author	Anis, B. Majdi, K. Jacques, B.
Copyright Year	2004
Description	Author affiliation: University of Poitiers (Anis, B.)
Abstract	This study is carried out within the framework of the development of simulation systems of high frequency radio wave propagation (60 GHz) for wireless local area networks in an indoor environment. Thus the corresponding wavelength is in millimeters. At this frequency, in order to optimise models of radioelectric wave propagation, it is important to have information related to the 3D roughness of the main reflective surfaces encountered during the transmission. But the estimation of the relief of 3D textured surface is generally made on grey level images. This supposes that variations in grey levels are representative of local variations in the relief. This assumption is justified in the case of uniformly coloured surfaces, but is no longer valid when these surfaces present variations of colour or aspect. The corresponding image will then present variations in grey levels which can be related to colour variations or relief variations or both. It becomes difficult in this case to evaluate relief based on image analysis. Before any study of roughness, it is therefore necessary to devise a method for separating the information linked to colour variation from the information linked to relief variation. In this paper, we propose to carry out this separation through a photometric stereovision system. The method we have developed is based first on the acquisition of three images of the studied surface, obtained under different light conditions, and second on the photometric model of the surface. So we have established the relationship between the local relief of the surface, its colour aspect and the corresponding grey level image. Then, for the studied surface, we have extracted an image representative only of its colour aspect and an image representative only of its local relief. Finally, we have extended the proposed method to the case of coloured images.
Starting Page	336
Ending Page	340
File Size	1387429
Page Count	5
File Format	PDF
ISBN	0769521274
DOI	10.1109/CCCRV.2004.1301464
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Surface waves Image color analysis Frequency Surface roughness Rough surfaces Surface texture Data mining Image texture analysis Photometry
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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