Homocentric polar-radius moment for shape classification

Kai Jin; Maoyong Cao; Shanshan Kong; Ying Lu

doi:10.1109/ICOSP.2006.345779

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 proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Title of host publication	8th International Conference on Signal Processing, ICSP 2006
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
Volume	3
ISBN (Print)	0780397371, 9780780397378
DOIs	https://doi.org/10.1109/ICOSP.2006.345779
Publication status	Published - 2007
Externally published	Yes
Event	8th International Conference on Signal Processing, ICSP 2006 - Guilin, China Duration: 16 Nov 2006 → 20 Nov 2006

Other

Other	8th International Conference on Signal Processing, ICSP 2006
Country/Territory	China
City	Guilin
Period	16/11/06 → 20/11/06

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10.1109/ICOSP.2006.345779

Cite this

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title = "Homocentric polar-radius moment for shape classification",

abstract = "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.",

author = "Kai Jin and Maoyong Cao and Shanshan Kong and Ying Lu",

year = "2007",

doi = "10.1109/ICOSP.2006.345779",

language = "English",

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volume = "3",

pages = "1--4",

booktitle = "8th International Conference on Signal Processing, ICSP 2006",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "8th International Conference on Signal Processing, ICSP 2006 ; Conference date: 16-11-2006 Through 20-11-2006",

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Jin, K, Cao, M, Kong, S & Lu, Y 2007, Homocentric polar-radius moment for shape classification. in 8th International Conference on Signal Processing, ICSP 2006. vol. 3, 4129210, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-4, 8th International Conference on Signal Processing, ICSP 2006, Guilin, China, 16/11/06. https://doi.org/10.1109/ICOSP.2006.345779

Homocentric polar-radius moment for shape classification. / Jin, Kai; Cao, Maoyong; Kong, Shanshan et al.
8th International Conference on Signal Processing, ICSP 2006. Vol. 3 Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 1-4 4129210.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

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AU - Jin, Kai

AU - Cao, Maoyong

AU - Kong, Shanshan

AU - Lu, Ying

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

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U2 - 10.1109/ICOSP.2006.345779

DO - 10.1109/ICOSP.2006.345779

M3 - Conference proceeding contribution

SN - 0780397371

SN - 9780780397378

VL - 3

SP - 1

EP - 4

BT - 8th International Conference on Signal Processing, ICSP 2006

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 8th International Conference on Signal Processing, ICSP 2006

Y2 - 16 November 2006 through 20 November 2006

ER -

Homocentric polar-radius moment for shape classification

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