Multiscale edge detection via normal changes

Chwen Jye Sze, Hong Yaun Mark Liao, Hai Lung Hung, Kuo Chin Fan, Jun Wei Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationImage Analysis and Processing - 9th International Conference, ICIAP 1997, Proceedings
EditorsAlberto Del Bimbo
PublisherSpringer Verlag
Number of pages8
ISBN (Print)3540635076, 9783540635079
StatePublished - 1997
Event9th International Conference on Image Analysis and Processing, ICIAP 1997 - Florence, Italy
Duration: 17 Sep 199719 Sep 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Image Analysis and Processing, ICIAP 1997


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