Staff-Line Detection and Removal Algorithm for a Camera-Based Recognition of Music Score Images(Internationa Session 6)
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概要
- 論文の詳細を見る
In this paper, we propose a staff-line detection and removal algorithm from a music score image obtained by a digital camera. As a preprocessing technique to recognize a music score image, staff-line detection and removal should be efficiently applied to the distorted images from a skew or curve. The proposed method detects staff-lines by dividing a stave according to the degree of distortion. The number of division is calculated by dividing a stave repeatedly, until an average of differences between the divided y coordinates is smaller than a threshold. Therefore, the number of division can be adaptively estimated according to the degree of distortion. For an experiment, we make various kinds of distorted images by skewing from 1° to 3° or curving. The results show that the proposed method performed well on the experiment images.
- 社団法人電子情報通信学会の論文
- 2007-10-18
著者
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Son Hwa-jeong
Department Of Computer Science Chonnam National University
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Kim Soo-Hyung
Department of Computer Science, Chonnam National University
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Oh Sung-Ryul
Department of Computer Science, Chonnam National University
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Lee Chil-Woo
Department of Computer Science, Chonnam National University
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Oh Il-Seok
Department of Computer Science and Engineering, Chonbuk National University
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Oh Sung-ryul
Department Of Computer Science Chonnam National University
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Oh Il-seok
Department Of Computer Science And Engineering Chonbuk National University
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Oh Il-seok
Department Of Computer And Information Science Chonbuk National University
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Lee Chil-woo
Department Of Computer Science Chonnam National University
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Kim Soo-hyung
Department Of Computer Science Chonnam National University
関連論文
- Staff-Line Detection and Removal Algorithm for a Camera-Based Recognition of Music Score Images(Internationa Session 6)
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