Abstract
It’s difficult to achieve good result of segmentation in illumination asymmetry image segmentation. In this paper, an adaptive threshold which is a low-frequency passed image based on wavelet multi-resolution filters is proposed for binarization. The proposed method has already found quite satisfactory applications in a “Recognition System of Gun-code”.
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Yang, B., Wang, X., Lei, L. (2009). Adaptive Wavelet Thresholding Algorithm on Low-Contrast Image. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_32
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DOI: https://doi.org/10.1007/978-3-642-03664-4_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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