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Automatic generation of break points for MDL based curve classification
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsbiologi, CB.ORCID-id: 0000-0002-9081-2170
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
1995 (engelsk)Inngår i: Scandinavian Conference on Image Analysis: SCIA'95 / [ed] G. Borgefors, 1995, s. 767-776Konferansepaper, Publicerat paper (Fagfellevurdert) [Kunstnerisk arbeiden]
Abstract [en]

This article presents a method for segmenting and classifying edges using minimum description length (MDL) approximation with automatically generated break points. A scheme is proposed where junction candidates are first detected in a multi-scale pre-processing step, which generates junction candidates with associated regions of interest. These junction features are matched to edges based on spatial coincidence. For each matched pair, a tentative break point is introduced at the edge point closest to the junction. Finally, these feature combinations serve as input for an MDL approximation method which tests the validity of the break point hypotheses and classifies the resulting edge segments as either ``straight'' or ``curved''. Experiments on real world image data demonstrate the viability of the approach.

sted, utgiver, år, opplag, sider
1995. s. 767-776
Emneord [en]
curve segmentation, minimum description length, junction detection, edge detection, curvature, classification, object recognition, computer vision
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-58932OAI: oai:DiVA.org:kth-58932DiVA, id: diva2:474413
Konferanse
Scandinavian Conference on Image Analysis, Uppsala, Sweden, June 1995
Merknad

QC 20150617

Tilgjengelig fra: 2012-01-09 Laget: 2012-01-09 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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