New Algorithms for Feature Description, Analysis and Recognition of Binary Image Contours

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Abstract

In this paper, some new and efficient algorithms are described for feature description, analysis and recognition of contours. One linearization method is introduced . The series of curvature angle, linearity, and bend angle between two neighboring linearized lines are calculated from the starting line to the end line. The series of structural points are described. The useful series of features can be used for shape analysis and recognition of binary contours. © Springer-Verlag 2004.

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APA

Yu, D., & Lai, W. (2004). New Algorithms for Feature Description, Analysis and Recognition of Binary Image Contours. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 1168–1174. https://doi.org/10.1007/978-3-540-30497-5_179

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