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Cites:

Information Journal Paper

Title

A GENETIC ALGORITHM FOR THERMAL IMAGE DECONVOLUTION

Pages

  138-143

Abstract

 A genetic based algorithm for deconvolution of Printed Circuit Board (PCB) THERMAL IMAGEs is presented.The deconvolution of THERMAL IMAGEs is modeled as an optimization problem, whose cost function is to be minimized based on mechanics of natural selection and genetics. The proposed algorithm can be configured with all available apriori information to speedup the solution computation. The paper presents the results for deconvolution using the proposed GENETIC ALGORITHM and its utility in PCB infrared thermal testing.

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    Cite

    APA: Copy

    MARCU, M., & VLADUTIU, M.. (2004). A GENETIC ALGORITHM FOR THERMAL IMAGE DECONVOLUTION. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), 3(2), 138-143. SID. https://sid.ir/paper/283340/en

    Vancouver: Copy

    MARCU M., VLADUTIU M.. A GENETIC ALGORITHM FOR THERMAL IMAGE DECONVOLUTION. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)[Internet]. 2004;3(2):138-143. Available from: https://sid.ir/paper/283340/en

    IEEE: Copy

    M. MARCU, and M. VLADUTIU, “A GENETIC ALGORITHM FOR THERMAL IMAGE DECONVOLUTION,” IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), vol. 3, no. 2, pp. 138–143, 2004, [Online]. Available: https://sid.ir/paper/283340/en

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