Browse > Article

(Algorithm for Recognizing Bulb in Cluster)  

이철헌 (부산정보대학 전기전자계열)
설성욱 (부산대학교 전자공학과)
김효성 (부산대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TE / v.39, no.1, 2002 , pp. 37-45 More about this Journal
Abstract
This paper proposes new features for recognizing telltale bulb in a cluster. A typical feature employed in model-based pattern recognition is polygonal approximation points of object. But recognition using these dominant points has many mismatching counts in small model such as telltale bulb. To reduce mismatching counts, proposed features are the circle distribution of object pixel and the ratio of distance from center to boundary in object. This Paper also proposes new decision function using three features. In simulation result, we make a comparison mismatching counts between recognition using dominant points and the new recognition algorithm using three features.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 N. Ansari and E. Delp, 'Detecting dominant point,' Pattern Recognition, Vol. 24, pp. 441-451, 1990
2 M. H. Han and D. Jang, 'The use of maximum curvature points for the recognition of partially occluded objects,' Pattern Recognition, Vol. 23, pp. 21-33, 1990
3 P. W. M. Tsang, P. C. Yuen and F. K. Lam, 'Classification of partially occluded objects using 3-point matching and distance transformation,' Pattern ecognition, Vol. 27, No. 1, pp. 27-40, 1994   DOI   ScienceOn
4 대우정밀(주), 차량 계기판 검사 자동화를 위한 비젼 시스템 개발, 1997
5 Milan Sonka, Vaclav Hlavac and Roger Boyle, Image Processing, Analysis and Machine Vision, Chapman & Hall Computing pp. 112-191, 1993
6 C. H. The and R. T. Chin, 'On the detection of dominant points on digital curve,' IEEE Trans. Patt. Anal. Mach. Int. Vol. 12, pp. 1072-1079, 1989
7 Liang-Kai Huang and Mao-Jiun J. Wang, 'Efficient shape matching through model-based shape recognition,' Pattern Recognition, Vol. 29, No. 2, pp. 207-215, 1996   DOI   ScienceOn
8 S. Chaudhury, A. Acharyya and Subramanian, 'Recognition of occluded obects with heuristic search,' Pattern Recognition, Vol. 23, No. 6, pp. 617-635, 1990   DOI   ScienceOn
9 J. L. Turney, T. N. Mudge and R. A. Volz, 'Recognizing partially occluded patrs,' IEEE Trans. Patt. Anal. Mach. Int. Vol. 7, No. 4, pp. 410-421, 1985
10 J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles, Addison-Wesley Publishing Company, pp. 75-83, 1974
11 P. W. M. Tsang, P. C. Yuen and F. K. Lam, 'Recognition of occluded objects,' Pattern Recognition, Vol. 25, pp. 1107-1117, 1992
12 M. W. Koch and Rangasami L. Kashyap, 'Using Polygons to recognize and locate patially occluded objects,' IEEE Trans. Patt. Anal. Mach. Int. Vol. 9, No. 4, pp. 483-494, 1987
13 M. H. Han, D. J. Jang and J. Foster, 'Inspection of 2-D objects using pattern matching method,' Pattern Recognition, Vol. 22, pp. 567-575, 1989
14 Morton Nadler and Eric P. Smith, Pattern Recognition Engineering, John Wiley & Sons. Inc. pp. 1-32, 1993