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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27996

Title: Multiscale Edge Detection on Range Images via Normal Changes
Authors: Chwen-Jye Sze;Hong-Yuan Mark Liao;Hai-Lung Hung;Kuo-Chin Fan;Jun-Wei Hsieh
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: edge detectio
Date: 1998-08
Issue Date: 2011-10-21T02:34:59Z
Publisher: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Abstract: Abstract:A new edge detection technique based on detection of normal changes is proposed. Most of the existing range image-based edge detection algorithms base their detection, criterion on depth or curvature changes. However, the depth change-based approach does not have keen sensitivity in detecting roof (or crease) edges, and the curvature change-based approach suffers from a complicated and tedious principal curvature derivation process. Using normal changes as a detecting criterion, on the other hand, the existence of an edge can be easily detected, even when the change across a boundary is slight. Experimental results using both synthetic and real images demonstrate that the proposed method can efficiently detect both step and roof edges
Relation: 45(8), pp.1087-1092
URI: http://ntour.ntou.edu.tw/handle/987654321/27996
Appears in Collections:[資訊工程學系] 期刊論文

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