Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2007
Abstract
In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (MFI), originally developed by Mitsubishi Electric Labs, to detect depth discontinuities. Illuminations of different wavelengths are projected from multiple positions, providing additional information about a scene compared to conventional segmentation techniques. Shadows are used to identify true object edges. The identification of non- occluded particles is made possible by exploiting the fact that shadows are cast on underlying particles. Implementation issues such as selecting the appropriate colour model and number of illuminations are discussed. Image segmentation using the proposed method, canny edge detection and watershed transform are performed on overlapping beach pebbles and granite. Evaluation results confirm that the proposed method is a successful extension of the original method and reveals its increased accuracy when compared with conventional segmentation techniques. Index Terms—multi-flash, image segmentation, active illumination, shadows, particle size analysis
Keywords
multi-flash, image segmentation, active illumination, shadows, particle size analysis
Discipline
Graphics and Human Computer Interfaces
Publication
Journal of Multimedia
Volume
2
Issue
6
First Page
1
Last Page
6
ISSN
1796-2048
Identifier
10.4304/jmm.2.6.1-6
Publisher
Academy Publisher
Citation
KOH, Tze Ki (XU Shuqi); MILES, Nicholas; and HAYES-GILL, Barrie.
Image segmentation using multi-coloured active illumination. (2007). Journal of Multimedia. 2, (6), 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/7621
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.4304/jmm.2.6.1-6