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고서화에 찍힌 도장 이미지의 디지털 분리 방법 - 해동 백계산 옥룡사 증시 선각국사 비명 병서를 사례를 중심으로 -

A Study on the Digital Separation Method for the Reading of seal on Pictures and Books. - Focused on Haedong Baekgyesan Okryongsa Jeungsi Seonkak Kuksa bimyung byeong seo -

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초록

The purpose of this study is to decipher the seal on Haedong Baekgyesan Okryongsa jeungsi Seongakguksa bimyung byungseo which has been stored in the Suncheon Songgwangsa Museum. So far, it has been impossible to decipher the steal due to the overlapping of the letters on the paper. To overcome this problem, we employed a technique using a digital camera and a computer. First, we digitized the seal image using a high-performance digital camera, then classified it as four parts according to color density; white paper, black letters, red seal and overlapped seal with letters. Classification was done using correlation between the color, density and brightness of the seal and those of the paper. In this process, digital techniques were used, such as highlighting and weakening each area (paper, seal, letter, seal + letter) in a state good for separation. Then, we adjusted the color and luminance of the seal to a desired condition for digital separation, and the density and contrast were adjusted differently by digitally processing the density, luminance, and color of the paper and seal. The extraction was successful by changing the concentration and contrast of the sealed inju. Consequently, we successfully deciphered the seal on the Book.

Abstract

The purpose of this study is to decipher the seal on Haedong Baekgyesan Okryongsa jeungsi Seongakguksa bimyung byungseo which has been stored in the Suncheon Songgwangsa Museum. So far, it has been impossible to decipher the steal due to the overlapping of the letters on the paper. To overcome this problem, we employed a technique using a digital camera and a computer. First, we digitized the seal image using a high-performance digital camera, then classified it as four parts according to color density; white paper, black letters, red seal and overlapped seal with letters. Classification was done using correlation between the color, density and brightness of the seal and those of the paper. In this process, digital techniques were used, such as highlighting and weakening each area (paper, seal, letter, seal + letter) in a state good for separation. Then, we adjusted the color and luminance of the seal to a desired condition for digital separation, and the density and contrast were adjusted differently by digitally processing the density, luminance, and color of the paper and seal. The extraction was successful by changing the concentration and contrast of the sealed inju. Consequently, we successfully deciphered the seal on the Book.

참고문헌 (12)

  1. 송민정, "도장영상 인식 시스템의 개발", 지능정보연구, 9(1), pp.125~137 (2003), 한국지능정보시스템학회
  2. 유견아, "스캔된 문서에서의 도장 검출", 한국컴퓨터정보학회논문지, 18(12), pp.65~73 (2013), 한국컴퓨터정보학회
  3. 박인규, "확장된 퍼지적분을 이용한 문서영상의 컬러낙관 추출", 한국인터넷방송통신학회 논문지, 9(1), pp.31~37 (2009), 한국인터넷방송통신학회
  4. "국립중앙박물관 소장품, 소장품번호: 증3490"[URL]

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