Computer Science ›› 2016, Vol. 43 ›› Issue (1): 310-314.doi: 10.11896/j.issn.1002-137X.2016.01.067

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Dynamic Multi-threshold Binarization Method for Visual Music Images

YANG Fang, TENG Gui-fa and TIAN Xue-dong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A dynamic binarization method was proposed for solving the uneven illumination problems in irregular regions of visual music images,to reduce the background influence and improve the effectiveness of multi-threshold me-thod.This method is based on pixel grayscale difference,and slide window is the segment unit.The foreground is detected by the difference variance ratio in each window,and the irregular illumination regions are decided by window background gray estimation.The Otsu’s binarization threshold is employed in each region in this algorithm.Foreground detection accuracy is decided by window size and variance ratio threshold.Those two parameters were discussed in detail in experiment.The experimental results show that this method can divide foreground into irregular illumination regions with a high foreground recall ratio.And it is effective to solve the uneven illumination binarization problem of music images.This method can also be applied to the binarization of general document images.

Key words: Binarization,Music image,Difference,Foreground detection,Dynamic threshold

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