1 AIT Asian Institute of Technology

Chromatic restoration of image sequences for agricultural field sensors

AuthorWatchara Sriswasdi
Call NumberAIT Thesis no. IM-11-01
Subject(s)Agriculture
Field experiments
Image processing

NoteA thesis submitted in partial fulfillment of the requirements for the degree of 1/faster of Engineering in Information Management, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. IM-11-01
AbstractAgricultural field monitoring is an activity that mainly aims to increase the productivity of agriculture. However, the changes in illumination and weather conditions lead to image distortion. Therefore, the ma.in objective is to restore the color distortion in image sequences caused by variations in the sunlight. I use rank-1 factorization through SVD to decompose the image sequences into surface reflectance and illumination power for each observation. Then I recover image scene chromaticity without knowing the actual illumination color in a particular image assuming uniform illumination. I evaluate the method with the observation of Macbeth's color chart under a variety of standard illuminations and find that reconstruction of color chart observations is better than traditional color balancing methods. In an evaluation on real data, I find that variation of the scene illumination becomes significantly lower than that in the original observations. Finally, I find that the method is extremely useful in detecting changes in the scene without false alarms due to lighting variation.
Year2011
Corresponding Series Added EntryAsian Institute of Technology Thesis ; no. IM-11-01
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSInformation Management (IM)
Chairperson(s)Dailey, Matthew N.;
Examination Committee(s)Kitamoto, Asanobu;Honda, Kiyoshi;
Scholarship Donor(s)Thailand (HM King);
DegreeThesis (M. Eng.) - Asian Institute of Technology, 2011


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