Abstract
Evaluation is an important step in developing a segmentation algorithm for an image analysis system. We first give a review of segmentation evaluation methods, and then demonstrate how a supervised evaluation method based on shape features is used in the development of a segmentation algorithm for fluorescence images of white blood cells.
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© 1995 Springer-Verlag Berlin Heidelberg
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Yang, L., Albregtsen, F., Lønnestad, T., Grøttum, P. (1995). A supervised approach to the evaluation of image segmentation methods. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_377
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DOI: https://doi.org/10.1007/3-540-60268-2_377
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