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고속의 직물 제직 공정에서 광학적 렌즈를 이용한 자동 밀도 측정 시스템
이응주,현기호,정인갑,Lee, Eung-Joo,Hyun, Eung-Joo,Jeong, In-Gab 한국정보처리학회 1998 정보처리논문지 Vol.5 No.1
The density of fabric is a very important parameter in many fabric production processes. However, in the textile fabrication factories, textile density measurement process has been done inefficiently by handicraft. Thus, exact textile density measurement process is necessary to fabricate high quality textile through weft straighten. In this paper, we propose an automatic textile density measurement system to measure textile density automatically and to improve fabrication efficiency. The proposed system uses cylindrical lens to optically scan the weftl information of the fabric as well as convex lens to enlarge the weft images. The proposed system improves textile quality and provides constant density value to the whole textile range in the high speed fabrication process. 직물의 밀도를 측정하는 작업은 직물 제직 공정에서 매우 중요한 사항이나 일반적으로 직물 제직 공장에서는 고속의 제직 라인에서 수작업에 의해 비효율적으로 행해지고 있다. 따라서 직물 제직 공정에서 직물의 포목 교정을 통해 고품질의 직물을 생산하기 위해서는 정확한 밀도 측정 과저잉 필수적인 사항이다. 본 논문에서는 고속의 제직 공정에서 광학적인 실린더 렌즈를 이용하여 직물의 위사 정보를 검출한 후 밀도 측정을 자동화함으로써 양질의 직물 생산과 직물 생산 효율을 극대화하고자 자동 밀도 측정 시스템을 제안하였다. 제안한 자동 밀도 측정 시스템은 고속의 직물 제직 공정에서 직물의 전체 영역에 걸쳐 일정한 밀도를 유지시켜 고품질의 직물 생산을 가능하게 하였다.
제어모드와 기준색 조정에 따른 CRT 모니터 색재현 알고리즘
이응주 동명정보대학교 2000 東明情報大學校論文集 Vol.3 No.-
When the user watches monitor under a certain conditions, the color is distorted due to monitor characteristic, spectral distribution of monitor, reference color and control mode of monitor. From these distortion factors, monitor colors can be seen differently under different conditions. And also, resulting colors of monitor are somewhat different under the kinds of same monitors. However, human visual system has color constancy with which the object color can be perceived constantly. A fundamental problem with any color monitor display system is the need to render correct colors under a variety of conditions as mentioned aboves. In order to predict the color errors, the tri-stimulus values must be computed under the reference color. The proposed method will compensate the resulting color errors and provide a natural color to the user.
이응주,손영선,김성진 동명정보대학교 2002 저널 정보공학기술 Vol.1 No.-
In this paper, we propose the vehicle type classification and recognition algorithm using intensity variation and wheel distance features. In the proposed algorithm, we first calculate wheel distance from the extracted wheel regions based upon the variation of vertical and horizontal intensity of input image. Next, we can classify the input vehicles into three types such as small, medium and large vehicles. And also, we suggest a new feature vectors of wheel distance to recognize the classified input vehicles. In the experimental results, it was found that the proposed method can improve the accuracy of type recognition efficiency as well as the real-time problem. The proposed method was effective in classification and recognition of input vehicles in the real environments.
이응주,이광춘,하영호 대한전자공학회 1997 電子工學會論文誌, S Vol.s34 No.6
Skin color reappearance problem in color processing system is necessary to transform a specific color sand improve color reappearance quality as a reference color. The skin color has been situated as an important memory color not only in our lives but also in color application systems such as TV. Thus, skin color reappearance problem is more important than other color processing problem. In this paper, we propose a skin color reappearance algorithm for color enhancement in TV which use phase detector to detect the skin colors at real-time from 3.58 MHz color burst signal and color signal, comparators to discriminate the types of skin color, and micom to reprodece standard skin colors for races.
피부색 정보와 얼굴의 구조적 특징 분석을 통한 얼굴 영상 인식 시스템
이응주,Lee Eung- Joo 한국융합신호처리학회 2000 융합신호처리학회 논문지 (JISPS) Vol.1 No.1
In this paper, we propose the face image recognition algorithm using skin color information, face region features such as eye, nose, and mouse, etc., and geometrical features of chin line. In the proposed algorithm, we used the intensity as well as skin color information in the HSI color coordinate which is similar to human eye system. The experimental results of proposed method shows improved extraction quality of face and provides adaptive extraction methods for the races. And also, we used chin line information as well as geometrical features of face such as eye, nose, mouse information for the improvement of face recognition quality, Experimental results shows the more improved recognition as well as extraction quality than conventional methods.