Abdulateef, Salwa Khalid and Mahmuddin, Massudi and Harun, Nor Hazlyna (2017) Food image representation based on modified orientation map. Journal of Theoretical and Applied Information Technology, 95 (1). pp. 40-46. ISSN 1992-8645

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Abstract

Orientation map is an image representation method representing edges of objects in an image as a set of short line segments instead of pixels representation.The orientation map approach not only aims to extract the key orientation information which constitutes the semantic framework of the visual scene, but also to remove the insignificant elements which barely play a role in image understanding.However, there are two main problems in the current computational approach of orientation map: 1-the outliers in the orientation map 2- the deformities in some line segments.These two problems have an adverse impact on any algorithmic work for image interpretation. This article proposes two improvements, heuristic based and genetic based, to reduce outliers and deformities respectively.Experimental results prove the significant improvement on the current computational approach of calculating the orientation map.

Item Type:	Article
Uncontrolled Keywords:	Orientation Map, Image Representation, Genetic Algorithm, Heuristic Approach, Ganglion Cells.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Dr. Massudi Mahmuddin
Date Deposited:	19 Apr 2017 08:35
Last Modified:	19 Apr 2017 08:35
URI:	https://repo.uum.edu.my/id/eprint/21734

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