Homocentric polar-radius moment for shape classification

Kai Jin*, Maoyong Cao, Shanshan Kong, Ying Lu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)


The description of the object shape is an important subject in the area of image processing and pattern recognition. In this paper, a new approach to contour recognition is proposed. This approach is based on the homocentric polar-radius moment to extract feature vectors of boundaries. Firstly, the definition of homocentric polar-radius moment is introduced. Secondly, the invariance properties of translation, rotation and scaling are proved. In the classification experiments, the recognition results show that our method is more robust and precise than improved moment invariants.

Original languageEnglish
Title of host publication8th International Conference on Signal Processing, ICSP 2006
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)0780397371, 9780780397378
Publication statusPublished - 2007
Externally publishedYes
Event8th International Conference on Signal Processing, ICSP 2006 - Guilin, China
Duration: 16 Nov 200620 Nov 2006


Other8th International Conference on Signal Processing, ICSP 2006


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