Effect of acquisition system features on algorithm performance

Vidya Venkatachalam; Richard M. Wasserman; Hiroyuki Yoshida; Hidemitsu Asano; Yasuhiro Takahama

doi:10.1117/12.474069

22 May 2003 Effect of acquisition system features on algorithm performance

Vidya Venkatachalam, Richard M. Wasserman, Hiroyuki Yoshida, Hidemitsu Asano, Yasuhiro Takahama

Proceedings Volume 5011, Machine Vision Applications in Industrial Inspection XI; (2003) https://doi.org/10.1117/12.474069
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

While evaluating the performance of image processing algorithms, the starting point is often the acquired image. However, in practice, several factors, extrinsic to the actual algorithm, affect its performance. These factors depend largely on the features of the acquisition system. This paper focuses on some of the key factors that affect algorithm performance, and attempts to provide some insight into defining “optimal” system features for best performance. The system features studied in depth in the paper are camera type, camera SNR, pixel size, bit-depth and system illumination. We were primarily interested in determining the effect of each of these factors on system performance. Towards this end, we designed an experiment to measure performance on a precision measurement system using several different cameras under varying illumination settings. From the results of the experiment, we observed that the variation in performance was greater for the same algorithm under different test system configurations, than for different algorithms under the same system configuration. Using these results as the basis, we discuss at length the combination of features that contributes to an optimal system configuration for a given purpose. We expect this work to have relevance to researchers in all areas of image processing who want to optimize the performance of their algorithms when ported to actual systems.

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Vidya Venkatachalam, Richard M. Wasserman, Hiroyuki Yoshida, Hidemitsu Asano, and Yasuhiro Takahama "Effect of acquisition system features on algorithm performance", Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); https://doi.org/10.1117/12.474069

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KEYWORDS

Cameras

Signal to noise ratio

Light sources and illumination

Imaging systems

Quantization

Digital cameras

Image quality

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