메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국지식정보기술학회 한국지식정보기술학회 논문지 한국지식정보기술학회 논문지 제10권 제5호
발행연도
2015.1
수록면
583 - 592 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
In Korea, the one important indicator of seasonal change is the first freezing time of Han river. Until today, the observation method of river freezing phenomenon is visual inspection methods by observers. However, The method has a severe weakness which is often biased by observer's subjective. As a result, it is required the more objective and stable observation method to analyze river's freezing process. In this paper, we installed the remote observation camera on the Han river bridge for our several experiments. Our work has performed during 30 days from December 1, 2014 using the observation camera system. First of all, We examined the variation patterns of the gray-scale intensity value array. The extracted feature values was recomputed and normalized based on the photographing condition of the observation image area. And We applied several image processing techniques to extract the freezing values. consequentially, We could observe several significant features for analyzing the freezing process of Han river. We could analysis the freezing degree using by the ratio between the frozen and normal river area. In experiments, we could identify that the average gray-scale Intensity of observing area was close to 0 as time passed. We could confirm that our proposed method was a stable process for finding frozen river area.

목차

등록된 정보가 없습니다.

참고문헌 (10)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0