- author = "Shaho Shahbazpanahi and Shahryar Rahnamayan",
- booktitle = "IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP 2014)",
- title = "Finding optimal transformation function for image thresholding using genetic programming",
- year = "2014",
- month = dec,
- abstract = "In this paper, Genetic Programming (GP) is employed to obtain an optimum transformation function for bi-level image thresholding. The GP uses a user-prepared gold sample to learn from. A magnificent feature of this method is that it does not require neither a prior knowledge about the modality of the image nor a large training set to learn from. The performance of the proposed approach has been examined on 147 X-ray lung images. The transformed images are thresholded using Otsu's method and the results are highly promising. It performs successfully on 99percent of the tested images. The proposed method can be used for other image processing tasks, such as, image enhancement or segmentation.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/CIMSIVP.2014.7013279",
-
notes = "Department of Electrical and Computer Engineering,
University of Ontario Institute of Technology, Oshawa,
ON, Canada
Also known as \cite{7013279}",
