Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

• Autorzy: Ye B. , Peng J.
• Języki publikacji: EN

Abstrakty

EN

In order to retrieve an image from a large image database, the descriptor should be invariant to scale and rotation. It must, also have enough discriminating power and immunity to noise for retrieval from a large image database. The Zernike moment descriptor has manv desirable properties such as rotation invariance, robustness to noise, expression efficiency, fast computation and multi-level representation for describing the shapes of patterns, but it does not possess scale invariance. In this paper, we present an improved Zernike moment descriptor that not only has rotation invariance, but also has scale invariance. We apply the improved Zernike moments to image recognition using as an elective descriptor of global shape of an image in a large image database. The experimemtal results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

Słowa kluczowe

EN

content-based; image retrieval; invariance; region-based; Zernike moments

PL

kształt; moment Zernika; niezmienniczość; shape \\eng\

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2002
• Tom: Vol. 8, no 3
• Strony: 11--20
• Opis fizyczny: Bibliogr. 12 poz.,Rys., wykr.,

Twórcy

autor

Ye B.

autor

Peng J.