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.",