Cuboid colour image segmentation using intuitive distance measure

Title: Cuboid colour image segmentation using intuitive distance measure
Creator: Tania, Sheikh; Murshed, Manzur; Teng, Shyh; Karmakar, Gour
Date: 2018
Type: Text; Conference proceedings
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168522
Identifier: vital:13876
Identifier: https://doi.org/10.1109/IVCNZ.2018.8634676
Identifier: ISBN:21512191 (ISSN); 9781728101255 (ISBN)
Abstract: In this paper, an improved algorithm for cuboid image segmentation is proposed. To address the two main limitations of the recently proposed cuboid segmentation algorithm, the improved algorithm substitutes colour quantization in HCL colour space with infinity norm distance in RGB colour space along with a different way to impose area thresholding. We also propose a new metric to evaluate the quality of segmentation. Experimental results show that the proposed cuboid segmentation algorithm significantly outperforms the existing cuboid segmentation algorithm in terms of quality of segmentation.; International Conference Image and Vision Computing New Zealand
Publisher: IEEE Computer Society
Relation: 2018 International Conference on Image and Vision Computing New Zealand, IVCNZ 2018; Auckland, New Zealand; 19th-21st November 2018 Vol. 2018-November, p. 1-6
Rights: This metadata is freely available under a CCO license
Subject: Cuboid segmentation; Infinity norm; Segmentation quality metric
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