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

Hasan Z.H Alhajhamad, Faris Amin Abu Hashish, Hoshang Kolivand and Mohd Shahrizal Sunar

Universiti Teknologi Malaysia, Skudai, Johor 81310 (Malaysia) .

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.

KEYWORDS: Segmentation; Intensity; color; photometry; and thresholding; Augmented Reality (AR)

Copy the following to cite this article: Alhajhamad H. Z. H, Hashish F. A. A, Kolivand H, Sunar M. S. An Overview: Image Segmentation Techniques for Geometry and Color Detection In Augmented Reality Environments. Orient. J. Comp. Sci. and Technol;6(2)

Copy the following to cite this URL: Alhajhamad H. Z. H, Hashish F. A. A, Kolivand H, Sunar M. S. An Overview: Image Segmentation Techniques for Geometry and Color Detection In Augmented Reality Environments. Orient. J. Comp. Sci. and Technol;6(2). Available from: http://www.computerscijournal.org/?p=2743

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