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An Overview: Image Segmentation Techniques for Geometry and Color Detection in Augmented Reality Environments

Kolivand, H and Alhajhamad, H and Hashish, FA and Sunar, MS (2013) An Overview: Image Segmentation Techniques for Geometry and Color Detection in Augmented Reality Environments. Oriental Journal of Computer Science and Technology, 6 (2). pp. 21-31. ISSN 0974-6471

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Abstract

This work is an accumulative study on some techniques which could help to extract the geometry and color of an image in the real-time environment. Image segmentation is a hot-zone in Computer Vision approach, however, works still on to produce accurate segmentation results for images. In corporation with other surveys which compares multiple techniques, this paper takes the advantage of choosing the most appropriate technique(s) to be adopted for Augmented Reality environment.Interested reader will obtain knowledge on various categories and types of research challenges in the image-based segmentation within the scope of AR environments.

Item Type: Article
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: Oriental Scientific Publishing Company
Date Deposited: 28 Feb 2017 11:50
Last Modified: 28 Feb 2017 11:50
URI: http://researchonline.ljmu.ac.uk/id/eprint/5721

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