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Efficient object recognition method for adjacent circular-shape objects
- Eun, S.-J.;
- Whangbo, T.-K.
Citations
SCOPUS
0초록
The general object recognition method is based on the various area segmentation algorithms. However, there might be difficulties with segmenting the adjacent objects when their boundaries are not clear. In order to solve this problem, we propose an efficient method of dividing adjacent circular-shape objects into single object through three steps: detection of the region of interest (ROI), determination of the candidate segmentation points, and creation of a segmentation boundary. The simulation shows robust results of 6.5 % average difference ratio compared to the existing methods, even when SNR was severe. © 2013 Springer Science+Business Media.
키워드
Adjacent circular-shape objects; Curve fitting; Local feature; Object recognition; Adjacent circular-shape objects; Average difference; Local feature; Segmentation algorithms; Segmentation boundaries; Single object; The region of interest (ROI); Curve fitting; Image segmentation; Object recognition
- 제목
- Efficient object recognition method for adjacent circular-shape objects
- 저자
- Eun, S.-J.; Whangbo, T.-K.
- 발행일
- 2013-12
- 유형
- Conference Paper
- 권
- 215 LNEE
- 페이지
- 911 ~ 917
- 언어
- ENG
- 출판사
- Springer Verlag
- 발행국가
- 독일
- 분량
- 7 페이지
- ISSN
- P 1876-1100