Development of a novel image sensor and its application to analysis of automobile components

IEEE/ASME Transactions on Mechatronics

Volumn 2, Issue 2, 1997, Pages 144-150

  Sarkodie Gyan, Thompson ^a,b   Lam, Chun Wah ^b   Campbell, Andrew W ^b  

^a IEEE   (United Kingdom)

^b TEESSIDE UNIVERSITY   (United Kingdom)

Author keywords

Approximate reasoning; Fuzzy cross correlation; Image sensor; Neuro fuzzy system; Pattern recognition

Indexed keywords

AUTOMOBILE PARTS AND EQUIPMENT; CORRELATION METHODS; EXPERT SYSTEMS; FITS AND TOLERANCES; FUZZY SETS; INTELLIGENT CONTROL; NEURAL NETWORKS; PATTERN RECOGNITION;

APPROXIMATE REASONING; FUZZY INFERENCE SYSTEM;

IMAGE SENSORS;

EID: 0031166223     PISSN: 10834435     EISSN: None     Source Type: Journal    
DOI: 10.1109/3516.588635     Document Type: Article

References (7)

1. A. W. Campbell, T. Sarkodie-Gyan, and C. W. Lam, "Identification of turbocharger components which are similar but not identical," in Proc. IMC-ll Lean Prod., Queen's Univ., Belfast, U.K., 1994, pp. 471-474.
2. F. A. Jenkins and H. E. White, Fundamentals of Optics, 4th ed. Auckland, New Zealand: McGraw-Hill, 1981.
3. W. J. Smith, Modern Optical Engineering - The Design of Optical Systems. New York: McGraw-Hill, 1966, ch. 13, pp. 387-388.
4. T. Sarkodie-Gyan, C. W. Lam, D. Hong, and A. W. Campbell, "A fuzzy clustering method for efficient 2-D object recognition," in Proc. 5th IEEE Int. Conf. Fuzzy Systems, New Orleans, LA, 1996, vol. 2, pp. 1400-1406.
5. H. Ishibuchi et al., "Neural networks that learn from if-then rules," IEEE Trans. Fuzzy Syst., vol. 1, pp. 85-97, May 1993.
6. M. M. Gupta et al., "On the principles of fuzzy neural networks," Fuzzy Sets Syst., vol. 61, no. 1, pp. 1-18, Jan. 1994.
7. Neural Computing: A Technology Handbook for Professional II/Plus and NeuralWorks Explorer, NeuralWare, Inc., Pittsburgh, PA, 1993, pp. NC-265-NC-276.