• Title/Summary/Keyword: 오선 두께

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A Robust Staff Line Height and Staff Line Space Estimation for the Preprocessing of Music Score Recognition (악보인식 전처리를 위한 강건한 오선 두께와 간격 추정 방법)

  • Na, In-Seop;Kim, Soo-Hyung;Nquyen, Trung Quy
    • Journal of Internet Computing and Services
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    • v.16 no.1
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    • pp.29-37
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    • 2015
  • In this paper, we propose a robust pre-processing module for camera-based Optical Music Score Recognition (OMR) on mobile device. The captured images likely suffer for recognition from many distortions such as illumination, blur, low resolution, etc. Especially, the complex background music sheets recognition are difficult. Through any symbol recognition system, the staff line height and staff line space are used many times and have a big impact on recognition module. A robust and accurate staff line height and staff line space are essential. Some staff line height and staff line space are proposed for binary image. But in case of complex background music sheet image, the binarization results from common binarization algorithm are not satisfactory. It can cause incorrect staff line height and staff line space estimation. We propose a robust staff line height and staff line space estimation by using run-length encoding technique on edge image. Proposed method is composed of two steps, first step, we conducted the staff line height and staff line space estimation based on edge image using by Sobel operator on image blocks. Each column of edge image is encoded by run-length encoding algorithm Second step, we detect the staff line using by Stable Path algorithm and removal the staff line using by adaptive Line Track Height algorithm which is to track the staff lines positions. The result has shown that robust and accurate estimation is possible even in complex background cases.

Testing for Competition in the Korean Petroleum Refining Industry (유가자유화에 따른 국내 정유산업의 경쟁도 분석 -구조적 모형과 비구조적 모형의 비교-)

  • Oh, Sunah;Heo, Eunnyeong
    • Environmental and Resource Economics Review
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    • v.15 no.1
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    • pp.51-69
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    • 2006
  • This paper analyze the degree of competitiveness of the refining industry after price liberalization. We use two well-known methods: the first is Bresnahan (1982) and Lau (1982) method that estimates a structural model consisting of a demand relation and supply relation and the second is Panzar and Rosse (1987) method that estimates non structural model of the sum of elasticities of gross revenue with respect to input prices. Results from two models show mixed sign, however, our results indicate that price liberalization improved the degree of competitiveness.

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Binary and Halftone Image Data Hiding Technique using Run-Length (RLE를 이용한 이진 이미지 및 하프톤 영상에 데이터 은폐 기술)

  • Kim, Cheon-Shik;Hong, You-Sik;Han, Chang-Pyoung;Oh, Seon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.37-43
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    • 2009
  • In this paper, we proposed that a novel method base on a binary image that technique is proposed for data hiding into binary images and halftone image. A binary image is bitmap image and halftone is composed by two-tone value in a limited region in an image. For this reason, it is not easy to hide messages in binary images. PWLC is a new method to hide a message in binary images. However, it yields images of unacceptable quality, unless you should change very few of it. Therefore, in order to solve this problem, we used run-length method into binary images. That is, we find a proper region to hide messages. In this paper, we proposed new method to hide messages in binary images. In addition, we proved that our algorithm is better than PWLC through the experiment.

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