DocumentCode
2648208
Title
Feature based hierarchical shape matching
Author
Maeder, A.J.
Author_Institution
Sch. of Electr. & Electron Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld.
fYear
1994
fDate
29 Nov-2 Dec 1994
Firstpage
342
Lastpage
346
Abstract
A technique for matching 2D regions in digital images using shape signatures is described. Successive derived signatures at varying resolutions are produced first, in which major shape feature information for the region being represented is preserved. Correspondences between the shape features for two different regions are established using a pair of derived signatures of similar resolution. A featural error sum is then computed to provide a measure of dissimilarity between the regions. Coarse resolution versions of candidate regions are compared first to allow unlikely cases to be rejected rapidly and then refined versions of the remaining cases are considered. Some experimental results for leaf outline data are presented and compared with those obtained when only the original signatures are considered
Keywords
feature extraction; image matching; image segmentation; 2D region matching; candidate regions; coarse resolution versions; digital images; dissimilarity measure; featural error sum; feature based hierarchical shape matching; leaf outline data; refined versions; represented region; shape feature information; shape signatures; successive derived signatures; Area measurement; Australia; Digital images; Image coding; Image processing; Layout; Length measurement; Rotation measurement; Shape measurement; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location
Brisbane, Qld.
Print_ISBN
0-7803-2404-8
Type
conf
DOI
10.1109/ANZIIS.1994.396985
Filename
396985
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