대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2002년도 ITC-CSCC -3
- /
- Pages.1531-1534
- /
- 2002
Image Registration Based On Statistical Descriptors In Frequency Domain
- Chang, Min-hyuk (Electronics Information & Communications Eng., Chosun Univ.) ;
- Ahmad, Muhammad-Bilal (Dept. of Mechatroncis Kwangju Institute of Science and Technology (KJIST)) ;
- Lee, Cheul-hee (Dept. of Electronics and Information & Communication Eng., Kochang Polytechnic Collage) ;
- Chun, Jong-hoon (Dept. of Information & Communication Eng., Provincial Collage of Namdo) ;
- Park, Seung-jin (Dept. of Biomedical Eng., Chounnam Univ.) ;
- Park, Jong-an (Electronics Information & Communications Eng., Chosun Univ.)
- 발행 : 2002.07.01
초록
Shape description and its corresponding matching algorithm is one of the main concerns in MPEG-7. In this paper, a new method is proposed for shape registration of 2D objects for MPEG-7 Shapes are recognized using the Hu statistical moments in frequency domain. The Hu moments are moment-based descriptors of planar shapes, which are invariant under general translation, rotational, scaling, and reflection transformation. The image is transformed into frequency domain using Fourier Transform. Annular and radial wedge distributions fur the power spectra are extracted. Different statistical features (Hu moments) are found f3r the power spectrum of each selected transformed individual feature. The Euclidean distance of the extracted moment descriptors of the features are found with respect to the shapes in the database. The minimum Euclidean distance is the candidate for the matched shape. The simulation results are performed on the test shapes of MPEG-7.
키워드