Advanced Binarization Method for Music Score Recognition Using Local Thresholds

Jaemyeong Yoo, Nguyen Dinh Toan, Deokjai Choi, Hyuk-Ro Park, Gueesang Lee
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引用次数: 3

Abstract

Application technology of mobile phone has been developing for the delivery of various contents over a simple voice channel. Music score recognition is one of such application services provided by mobile phone manufacturers which transform a music score taken by the phone camera into a midi file. For the successful recognition of the music score, the input image should be properly binarized to be fed into the recognition process. In this paper, Adaptive binary algorithm is proposed which exploits local thresholds with several levels to deal with illumination changes over the entire image. Experimental results shown advanced performance of music score recognition.
基于局部阈值的高级二值化乐谱识别方法
移动电话的应用技术一直在发展,目的是通过简单的语音通道传送各种内容。乐谱识别就是手机厂商提供的将手机摄像头拍摄的乐谱转换成midi文件的应用服务之一。为了成功地识别乐谱,输入的图像必须经过适当的二值化处理才能被输入到识别过程中。本文提出了一种自适应二值化算法,该算法利用多个层次的局部阈值来处理整个图像的光照变化。实验结果表明,该方法具有较好的乐谱识别性能。
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