Paper
1 September 1990 Experimental design methodology: the scientific tool for performance evaluation
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Abstract
With the rapid growth of the signal and image processing technology in the last several decades has arisen the need for means of evaluating and comparing the numerous algorithms and systems that are created or are being developed. Performance evaluation, in the past, has been mostly ad hoc and incohesive. In this paper we present a systematic step by step approach for the scientific evaluation of signal and image processing algorithms and systems. This approach is based on the methodology of Experimental Design. We illustrate this method by means of an example from the field of automatic object recognition.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Firooz A. Sadjadi "Experimental design methodology: the scientific tool for performance evaluation", Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); https://doi.org/10.1117/12.21799
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Cited by 6 scholarly publications.
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KEYWORDS
Image processing

Data modeling

Signal processing

Performance modeling

Algorithm development

Error analysis

Systems modeling

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