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Identifying, visualizing, and comparing regions in irregularly spaced 3D surface data
2005 (English)In: Computer Vision and Image Understanding, ISSN 1077-3142, E-ISSN 1090-235X, Vol. 98, no 2, 239-270 p.Article in journal (Refereed) Published
Abstract [en]

Image segmentations have been performed to identify the surface fragmentation of rock piles using 3D surface data, and quantified. The advantages for fragmentation measurement using image analysis are significant and include: quantifying image segmentation performance in isolation of the downstream processes of fragment classification and size distribution calculation, utilization of 3D data to overcome various limitations of photographic-based image analysis, and the capacity to use 3D fragment data to eliminate the misclassification of partially visible fragments as smaller entirely visible fragments. The segmentation results have been quantified by comparison with the 3D surface data of each individual rock fragment. Mathematical morphology and image segmentation algorithms have been extended from greyscale image-based definitions and applied to irregularly spaced 3D coordinate surface data. 3D coordinate surface data can now be morphologically processed directly in 3D, segmented, visualized, and directly compared to the actual surface fragmentation in order to quantify the results.

Place, publisher, year, edition, pages
2005. Vol. 98, no 2, 239-270 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-3193DOI: 10.1016/j.cviu.2003.12.002Local ID: 0fc88260-7047-11dc-a60c-000ea68e967bOAI: diva2:976049
Uppr├Ąttat; 2005; 20071001 (ysko)Available from: 2016-09-29 Created: 2016-09-29

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