Earticle

초록

영어

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

목차

I. 서론
 II. 도로교통안정표지판 인식시스템
  1. 도로교통안전표지판 영상인식과정
  2. 영상자료 학습과정
  3. 영상자료 인식과정
  4. 도로교통안전표지판 영상인식 알고리즘
 III. 연구방법
  1. 영상획득
  2. 팔레트추출
  3. 전처리 과정
  4. 영상영역 분할
  5. RYB 표준 색상분해 및 주의·규제·지시 군집화
  6. 평균 특징 벡터
 IV. 연구 결과
  1. 실 영상의 예
  2. 인식률 및 인식시간
 V. 결론 및 연구과제
 참고문헌
 Abstract

저자

• 정진용 [ Jung, Jin-yong | 순천청암대학 컴퓨터정보과학부 ]
• 김동현 [ Kim, Dong-hyun | 순천청암대학 컴퓨터정보과학부 ]
• 이소행 [ Lee, So-haeng | 순천청암대학 컴퓨터정보과학부 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  경영과 정보연구 [Management Information Systems review]

• 간기

  계간

• pISSN

  1598-2459

• 수록기간

  1997~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658