PDL-HM: morphological and syntactic shape classification algorithm
Identifieur interne : 002D99 ( Main/Exploration ); précédent : 002D98; suivant : 002E00PDL-HM: morphological and syntactic shape classification algorithm
Auteurs : H. Arnarson [Islande] ; F. Pau [France]Source :
- Machine Vision and Applications [ 0932-8092 ] ; 1994-06-01.
Abstract
Abstract: This paper describes a novel shape classification technique in computer vision called PDL-HM, which combines the selection of morphological structuring elements from contour description languages, the extraction of shape characteristics by the hit- and-miss transform, and shape classification by a neural network. This real-time method is orientation independent and tolerates limited object overlap. It is illustrated by an application to fish species classification in an industrial enviromnent and performs excellently
Url:
DOI: 10.1007/BF01215802
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: This paper describes a novel shape classification technique in computer vision called PDL-HM, which combines the selection of morphological structuring elements from contour description languages, the extraction of shape characteristics by the hit- and-miss transform, and shape classification by a neural network. This real-time method is orientation independent and tolerates limited object overlap. It is illustrated by an application to fish species classification in an industrial enviromnent and performs excellently</div>
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