• Title/Summary/Keyword: S-transform

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문자 및 Image Pattern Matching을 위한 Algorithm과 그 응용

  • Kim, U-Seong
    • ETRI Journal
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    • v.8 no.1
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    • pp.3-5
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    • 1986
  • 본 고는 image의 pattern을 identify하기 위해 그 image data의 FFT(Fast Fourier Transform)를 취한 후 에너지 스펙트럼의 크기를 폐적분한 값으로 부터 original input object와 비교대상의 object에 대한 mean square error 값의 차이를 시뮬레이션한 결과 얻은 threshold value와 비교함으로써 matching 을 구현하기 위함이다. Vax11-780/vms와 Fortran77 Language를 사용하여 시뮬레이션을 수행하였으며 Tektronix graphic terminal이 digitized된 이미지의 모니터용으로 사용되었다.

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FEYNMAN INTEGRALS IN WHITE NOISE ANALYSIS

  • KANG, SOON-JA
    • Honam Mathematical Journal
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    • v.20 no.1
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    • pp.97-109
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    • 1998
  • We first obtain the white noise calculus to the computation of Feynman integral for a generalized function, according to the definition of Feynman integrals by T. Hida and L. Streit. We next give the translation theorem for Feynman integral of a generalized function.

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수정된 Karmarkar 기법과 이의 효율성

  • Jeong, Seong-Jin;Lee, Chang-Hun
    • Journal of Korean Institute of Industrial Engineers
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    • v.13 no.1
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    • pp.53-60
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    • 1987
  • Karmakar suggested two methods to transform the general linear programming into his specially structured linear programming problem. We show that there are bad cases that cause difficulties in the use of Karmakar's methods. We also develop a new transformation method which can handle those difficulties.

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Finger Tip Recognition Algorithm in Digital Micromirror System (디지털 마이크로 미러 시스템에서의 손끝 인식 알고리즘)

  • Choi, Jong-ho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.2
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    • pp.223-228
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    • 2016
  • A digital micromirror system was proposed for future smart learning. This system is the compact micro-projector with a built-in CMOS sensor modules. It can provide the various interfaces. The basis of interface is to recognize the finger tip on projected image. But the recognition rate of finger tip is very low due to various image degradations. In this paper, we propose the finger tip recognition algorithm that minimize the image degradation factors by using the Retinex transform and IR structuring light. By verifying the availability of the algorithm through experiment, the performance of finger tip recognition was confirmed. Therefore, the user interface can be able to be enhanced significantly in DMS.