Abstract
Binarization, as an early stage of image processing, is quite crucial in terms of reducing redundant information from the image. A grayscale image can be segmented in two groups as object and background by using a binarization technique. In other words, binarization reduces the space of pixel intensities to {0, 1} from a broader range of values [0, 255] in case of 8-bit grayscale images.
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© 2014 Springer India
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Chaki, N., Shaikh, S.H., Saeed, K. (2014). Conclusions. In: Exploring Image Binarization Techniques. Studies in Computational Intelligence, vol 560. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1907-1_6
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DOI: https://doi.org/10.1007/978-81-322-1907-1_6
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Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1906-4
Online ISBN: 978-81-322-1907-1
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