CONNECTIONIST MODEL BINARIZATION
1991 ◽
Vol 05
(04)
◽
pp. 629-644
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Keyword(s):
Image binarization is a task to convert gray-level images into bi-level ones. Its underlying notion can be simply thought of as threshold selection. However, the result of binarization will cause significant influence on the process of image recognition or understanding. In this paper we discuss a new binarization method, named CMB (connectionist model binarization), which uses the connectionist model. In the method a gray-level histogram is input to a multilayer network trained with the back-propagation algorithm to obtain a threshold which gives a visually suitable binarized image. From the experimental results, it was verified that CMB is an effective binarization method in comparison with other methods.
2020 ◽
2012 ◽
pp. 56-61
2020 ◽
2014 ◽
Vol 93
(16)
◽
pp. 1-8
◽
2021 ◽
pp. 095440702110148
Keyword(s):