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- W1994558178 abstract "An important issue in the advancement of Image Processing and Computer Vision (IP/CV) algorithm development is the ability to test, verify and compare the newly developed algorithm performance to other functionally equivalent algorithms and to ground truth in a complete and meaningful way. In this paper, we explore several criteria to estimate the performance of IP/CV algorithms against databases of synthetic and real data and use statistical analysis to determine performance. Formal system analysis along with Monte Carlo testing is used to rigorously compare these algorithms. A case study is performed on the familiar edge detection algorithms to illustrate the techniques and also the vulnerability of these algorithms to good average performance but in certain cases to very poor performance." @default.
- W1994558178 created "2016-06-24" @default.
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- W1994558178 date "1993-08-04" @default.
- W1994558178 modified "2023-10-09" @default.
- W1994558178 title "<title>Formal system specification and testing of image processing/computer vision algorithms</title>" @default.
- W1994558178 doi "https://doi.org/10.1117/12.149064" @default.
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