한국해양대학교

Detailed Information

Metadata Downloads

인공지능 기법을 이용한 화상처리 가공시스템의 오차보정에 관한 연구

Title
인공지능 기법을 이용한 화상처리 가공시스템의 오차보정에 관한 연구
Alternative Title
A Study on the Error Compensation of Image Processing Control System using Artificial Intelligence
Author(s)
孔惜珉
Issued Date
2002
Publisher
한국해양대학교
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173986
http://repository.kmou.ac.kr/handle/2014.oak/9963
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.
Appears in Collections:
전자통신공학과 > Thesis
Files in This Item:
000002173986.pdf Download

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse