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Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate

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Discovery Science (DS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1721))

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3 Conclusion

We proposed a new image processing expert system for knowledge discovery from an image database. This system can construct an image recognition procedure to satisfy the given condition of misclassification rates. The system was applied to a defect part extraction problem on LSI packages with promising results.

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References

  1. J. Hasegawa, H. Kubota, J. Toriwaki: Automated Construction of Image Processing Procedures by Sample Figure Presentation, Proc.8ICPR, pp.586–588 (1986)

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  2. A. Shimizu, J. Toriwaki, S. Yamamoto: Probability Model of Computer-aided Screening System Using Image Processing Evaluation of Performance, Med. Imag. Tech., 11,5, pp.645–652 (Dec.1993)

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  3. T. Hamada, A. Shimizu, J. Hasegawa J. Toriwaki: Fundamental Study on Automated Construction of Pattern Recognition Procedures. Techinical Report of SICE, PG99-2, pp.15–22 (Jan. 1999)(in Japanese)

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© 1999 Springer-Verlag Berlin Heidelberg

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Hamada, T., Shimizu, A., Saito, T., Hasegawa, Ji., Toriwaki, Ji. (1999). Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate. In: Arikawa, S., Furukawa, K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science(), vol 1721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46846-3_32

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  • DOI: https://doi.org/10.1007/3-540-46846-3_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66713-1

  • Online ISBN: 978-3-540-46846-2

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