An Experimental Comparison of Seven Shape Descriptors in the General Shape Analysis Problem

作者: Dariusz Frejlichowski

DOI: 10.1007/978-3-642-13772-3_30

关键词: Shape analysis (digital geometry)Fourier descriptorActive shape modelArtificial intelligenceTemplate matchingComputer visionPattern recognitionBase classMathematics

摘要: The general shape analysis is a problem similar to the recognition or retrieval of shapes. most important difference that processed object does not have belong base class, but usually only template representing class. information about here concluded, i.e. how round, elliptical, triangular, etc. it is. Such can occur in applications with few classes, e.g. pre-classification assignment stamps extracted from an image classes order find fraudulent stamp images (mainly governmental, official ones). In paper seven descriptors were explored using matching approach. select best approach their performance was compared results provided by almost two hundred humans and collected appropriate inquiry forms.

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