한국해양대학교

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인공지능 기법을 이용한 화상처리 가공시스템의 오차보정에 관한 연구

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dc.contributor.author 孔惜珉 -
dc.date.accessioned 2017-02-22T06:53:09Z -
dc.date.available 2017-02-22T06:53:09Z -
dc.date.issued 2002 -
dc.date.submitted 56797-10-27 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173986 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/9963 -
dc.description.abstract It remains simple automation on processing of the work which manufactures raw materials in a primary industry and demands much more manpower than the others category of industry. It has developed and applied automatic machine due to reduce processing line and downsize manpower per processing line, But the operators waste a lot of time to revise size and assort the size of object when the machine is operating. The subject is the fish head cutter which is impossible to efficient operating and inevitable stop without assort of fish size before it's operating and the processing system which is basically composed of pattern and distinguishing feature of the object and obtain to high quality object image in real time using with CCD(Charge Coupled Device) camera without the limitation and assortment of the size and especially, the important of this paper is to acquire optimum image when established controller attach on processing system and to compensate error between coordinates on the acquired image and projection on the coordinates of real processing space. The restoration optimum image from transformation image demands compound change of image change, calendar reform, and multiple soultion calculation. This study presents that system actively deal with outside interference, vibration, movement, mechanical feature on the operating or before the operating and avoids complicated mathematical numerical expression and revise based on expert knowledge based which applies Fuzzy Logic which is one of Artificial Intelligent technique. -
dc.description.tableofcontents 목차 제 1 장 서론 = 1 제 2 장 퍼지이론 = 3 2.1 퍼지이론의 개요 = 3 2.2 퍼지추론 = 5 2.3 다변수 구조 퍼지시스템 = 9 제 3 장 퍼지논리를 이용한 오차보정 = 12 3.1 영상의 기본적 변환 = 12 3.2 퍼지논리에 의한 에러 보정 = 21 3.3 영상에서의 퍼지입력 파라메타의 산출 = 22 3.4 보정계수 산출을 위한 퍼지추론 = 27 제 4 장 시스템의 구현 및 실험 = 30 4.1 시스템 구성과 개요 = 30 4.2 전체 가공기의 동작 시?스 = 32 4.3 실험결과 = 35 제 5 장 결론 = 39 참고문헌 = 41 -
dc.publisher 한국해양대학교 -
dc.title 인공지능 기법을 이용한 화상처리 가공시스템의 오차보정에 관한 연구 -
dc.title.alternative A Study on the Error Compensation of Image Processing Control System using Artificial Intelligence -
dc.type Thesis -
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