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Performance Evaluation in Image Processing


  1. 1.

    Heath MD, Sarkar S, Sanocki T, Bowyer K: Robust visual method for assessing the relative performance of edge-detection algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997, 19(12):1338–1359. 10.1109/34.643893

    Article  Google Scholar 

  2. 2.

    Kirsch RA: SEAC and the start of image processing at the National Bureau of Standards. IEEE Annals of the History of Computing 1998, 20(2):7–13. 10.1109/85.667290

    Article  Google Scholar 

  3. 3.

    Kirsch RA, Cahn L, Ray C, Urban GH: Experiments in processing pictorial information with a digital computer. Proceedings of the Eastern Joint Computer Conference, December 1957, Washington, DC, USA

    Google Scholar 

  4. 4.

    Wirth MA: Performance evaluation of image processing algorithms in CADe. Technology in Cancer Research and Treatment 2005, 4(2):159–172.

    MathSciNet  Article  Google Scholar 

  5. 5.

    Zhang YJ: Evaluation and comparison of different segmentation algorithms. Pattern Recognition Letters 1997, 18(10):963–974. 10.1016/S0167-8655(97)00083-4

    Article  Google Scholar 

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Correspondence to Michael Wirth.

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Wirth, M., Fraschini, M., Masek, M. et al. Performance Evaluation in Image Processing. EURASIP J. Adv. Signal Process. 2006, 045742 (2006).

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