한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2010년도 춘계학술발표대회
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- Pages.405-408
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- 2010
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
회전불변 객체 인식에 관한 연구
On the Study of Rotation Invariant Object Recognition
- Alom, Md. Zahangir (Division of Electronics and Information Engineering Chonbuk National University) ;
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Lee, Hyo Jong
(Division of Electronics and Information Engineering Chonbuk National University)
- 발행 : 2010.04.23
초록
This paper presents a new feature extraction technique, correlation coefficient and Manhattan distance (MD) based method for recognition of rotated object in an image. This paper also represented a new concept of intensity invariant. We extracted global features of an image and converts a large size image into a one-dimensional vector called circular feature vector's (CFVs). An especial advantage of the proposed technique is that the extracted features are same even if original image is rotated with rotation angles 1 to 360 or rotated. The proposed technique is based on fuzzy sets and finally we have recognized the object by using histogram matching, correlation coefficient and manhattan distance of the objects. The proposed approach is very easy in implementation and it has implemented in Matlab7 on Windows XP. The experimental results have demonstrated that the proposed approach performs successfully on a variety of small as well as large scale rotated images.
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