• 제목/요약/키워드: Analysis of Difference Image

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차영상 분석 기반의 자동차 엔진 실링상태 검사 시스템 (Car Engine Sealing Inspection System Based on Analysis of Difference Image)

  • 최상복;반상우;김기택
    • 한국멀티미디어학회논문지
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    • 제14권3호
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    • pp.356-367
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    • 2011
  • 본 논문에서는 차 엔진의 누수 방지를 위한 실링 처리 후 실링 처리 영역에 대한 정확도를 검사하는 새로운 알고리즘을 제안하고, 실제 생산라인에서 동작하는 자동차 엔진 실링검사 시스템을 개발하였다. 검사 방법은 기존에 제안된 영상처리 기법에 기반을 두는 세 가지 검사 방법들이 갖는 설치의 어려움, 높은 계산의 복잡도, 유사 색 기름에 의한 실링검사 성능 저하 등의 여러 가지 단점을 해결하고 저 비용의 시스템을 개발하기 위해 개발되었다. 제안하는 시스템은 기존의 방법에서 적용하지 않은 설링 전후의 차영상을 활용하는 기법을 이용하여 다양한 환경변화에 적응적이며, 고정형 카메라 1대로 검사가 가능한 저 비용 시스템이다. 실제 생산라인에서의 비교 실험을 통해 제안하는 실링검사 방법은 기존의 생산라인에서 적용되고 있는 세 가지 다른 방법들에 비해 높은 실링검사 정확도를 보여 성능의 우수성을 입증하였다.

인구통계적 특성에 따른 선호 헤어스타일 및 헤어추구이미지와의 관계: 미용실 방문객을 중심으로 (The Relationship between Preferred Hairstyle and Pursued-Image of Hairstyle according to Demographic Characteristics: Focusing on Hair Salon Visitors)

  • 김선미;하경연
    • 패션비즈니스
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    • 제18권2호
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    • pp.66-79
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    • 2014
  • The purpose of this study was to find out the difference between preferred hairstyle and pursued-image of hairstyle according to demographic characteristics. The method of this study is a content analysis and survey research using a questionnaire, which consisted of items of pursued-image of hairstyle, preferred hairstyle and demographic characteristics. 450 women were selected as subjects of this study; they were randomly selected from hair salon located in Seoul, Inchon and Bundang. For the material analysis, We used the statistical program of SPSS 12.0; frequencies, factor nalysis, one-way ANOVA and Duncan's multiple range test, T Test and ${\chi}^2$ Test were carried out as the methods of analysis. The research findings were as follows. First, the results of hairstyles according to the content analysis usually resulted 5 hairstyles, such as cuts and crew cut, bobbed hair, long layered hair styles and nonelayered long hair styles. Second, under the survey regarding the difference of preferred hairstyle and pursued-image of hairstyle according to demographic characteristics. variety of hair styles due to the subjects were more willing to try a consciousness about other's suggestions and how they are portrayed. Moreover a low level of education was ralated to a attempting a variety of styles, considering their social life. Subjects with higher age, education level and salary preferred a glamorous image as well as crew cuts. Which made them look younger. However, when they were younger, they preferred long nonelayered hair styles. In conclusion, age, average monthly income and education level are important variations affecting the property of change in hairstyles and pursued-image of hairstyles.

Comparative Analysis of Detection Algorithms for Corner and Blob Features in Image Processing

  • Xiong, Xing;Choi, Byung-Jae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제13권4호
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    • pp.284-290
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    • 2013
  • Feature detection is very important to image processing area. In this paper we compare and analyze some characteristics of image processing algorithms for corner and blob feature detection. We also analyze the simulation results through image matching process. We show that how these algorithms work and how fast they execute. The simulation results are shown for helping us to select an algorithm or several algorithms extracting corner and blob feature.

Daum 이미지와 QuickBird 위성영상에 의한 NIR 밴드 추출과 정규화식생지수 (NDVI)에의 적용 (NIR Band Extraction for Daum Image and QuickBird Satellite Imagery and its Application in NDVI)

  • 나상일;박종화
    • 한국농공학회논문집
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    • 제51권4호
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    • pp.37-42
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    • 2009
  • This study extracted Near Infrared (NIR) band using Image Processing Technology (IPT), and calculated Normalized Difference Vegetation Index (NDVI). Aerial photography from Daum portal in combination with high resolution satellite image was employed to improve vegetation sensitivity by extracting NIR band and calculating NDVI with comparison to QuickBird result. The extracted NIR band and NDVI through IPT presented similar distribution pattern. In addition, a regression analysis by land cover character showed high correlation paddy and forest Therefore, this approach could be acceptable to acquire vegetation environment information.

석면섬유 자동계수를 위한 고효율 현미경법의 영상처리 알고리즘 개선 (Improvement of Image Processing Algorithm of High-Throughput Microscopy for Automated Counting of Asbestos Fibers)

  • 조명옥;윤성희;한화택;김중경
    • 한국가시화정보학회지
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    • 제13권3호
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    • pp.15-19
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    • 2015
  • We developed a high-throughput microscopy (HTM) method which enabled us to replace a conventional phase contrast microscopy (PCM) method that has been used as a standard analytical method for airborne asbestos. We could obtain the concentration of airborne asbestos fibers under detection limit by automated image processing and analysis using HTM method. Here we propose an improved image processing algorithm with variable parameters to enhance the accuracy of the HTM analysis. Since the variable parameters that compensate the difference of the brightness are applied to the individual images in our new image processing method, it is possible to enhance the accuracy of the automatic image analysis method for sample slides with low asbestos concentration that caused errors in binary image processing. We demonstrated that enumeration of fibers by improved image processing algorithm remarkably enhanced the accuracy of HTM analysis in comparison with PCM. The improved HTM method can be a potential alternative to conventional PCM.

언어 및 비언어 자극물에 따른 색채 이미지 (A Study on the Color Image according of Language and Nonlanguage Stimulant)

  • 안옥희
    • 조명전기설비학회논문지
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    • 제14권6호
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    • pp.6-11
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    • 2000
  • 본 연구에서는 언어 및 비언어적 자극물에 따른 색체이미지의 차이를 파악하기 위하여 185명의 대학생을 대상으로으로 실험을 실시하였다. 그 결과, 색채의 이미지는 "활동성", "따뜻함", "세련감", "중량감"의 4개 요인으로 분류됨을 알았다. 전체적으로 색맹실힘에 의한 이미지 평가가 색표실험에 의한 평가보다 약간 높았으며, 언어 및 비언어적 지극물, 즉 색표실험과 색맹실험간에 유의차가 인정되었다. 특히 빨강과 노량은 자극물에 따른 평가가 차이가 없으나 파랑과 녹색은 유의차가 크게 남을 알 수 있었다.

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R-필터링을 이용한 자동차 브레이크등 검출과 인식 (Detection and Recognition of Vehicle Brake Lights using an R-Filtering)

  • 정민철
    • 반도체디스플레이기술학회지
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    • 제10권4호
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    • pp.95-100
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    • 2011
  • This paper proposes a new method of vehicle brake lights detection and recognition using an R-filtering. Firstly, the proposed method processes the R-filtering with the first input image and then with the second one in order to detect brake lights. Secondly, the method counts the number of red pixels and computes the mean value in each R-filtered image. The difference rates between the numbers of the red pixels and between the mean values of two images are defined in this paper. Through the analysis of the difference rates, it can recognize whether brake lights are turned on or off, and whether the vehicle ahead is being approached or not. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithm is quite successful.

원피스드레스의 허리밴드 위치(位置)와 밴드 폭(幅)의 변화(變化)에 따른 시각적(視覺的) 이미지 (A study of the visual image by variations in the location and width of the waist bands of the one-piece dress)

  • 이정진;이정순
    • 패션비즈니스
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    • 제10권4호
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    • pp.70-77
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    • 2006
  • The purpose of this study is to evaluate the differences of visual image by variations in the location and width of the waist band of the one-piece dress. The stimuli are 24 samples: 8 variations of the location of the waist band and 3 variations of the width of the waist band. The data has been obtained from 50 fashion design majors. The data has analyzed by Factor Analysis, Anova, Scheff's Test and the MCA method. The results of the study are as follows. According to the result of factor analysis of the visual image based on the changes in the location and width of waist bands, three factors were identified- attractiveness, elegance and practicality. Among them, attractiveness was found to be the most important. The visual image was evaluated positively when waist bands were positioned above the natural waist line and negatively when waist bands were positioned below the natural waist line regardless of their width. In addition, the visual image based on the width of waist bands for one-piece dress was the most positive when the width was 4.5cm. No significant difference was observed in the visual image according to band width when the waist bands were positioned below the natural waist line. The interaction of visual image according to the location and width of waist bands for one-piece dress did not appear. As the main effect, significant differences were observed in all of the three factors according to the location of waist bands, but only two factors excluding elegance showed some difference according to the width of waist bands. When multiple classification analysis was applied to the factors without interaction, the location of waist bands appeared to have more significant effect on visual image than the width of waist bands.

주상분석법을 이용한 밀의 경.연질성 구분 (Using Image Analysis Technique to Test Grain Hardness in Wheat)

  • 박동수;고종민;서득용;김경민;손재근
    • 한국작물학회지
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    • 제42권5호
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    • pp.571-578
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    • 1997
  • 밀의 경ㆍ연질성 구분을 효과적으로 수행할 수 있는 새로운 방법을 모색하기 위해 주상분석법을 이용한 측정법과 기존의 몇 가지 측정방법의 정확도 및 상관관계를 상호 비교 분석한 결과를 요약하면 다음과 같다. 주상분석법을 이용하여 측정한 곡립의 초자질율은 경도계 및 NIRS에 의한 방법과 고도로 유의적인 상관이 인정되었으며 곡립의 단백질 함량과도 분석방법간에 고도로 유의한 상관이 인정되었다. 주상분석법을 이용한 초자질율의 측정은 반복간의 오차가 적고, 측정된 결과가 기존의 경도측정 방법과 상관이 매우 높아 새로운 연경질성의 구분기준으로 사용할 수 있었으며, 곡립의 연경질성 분석후 곡립의 발아력이 상실되지 않으므로 밀의 용도별 고품질 육종효율 증진을 위한 초기 선발방법으로 사용이 가능할 것으로 사료되었다.

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매스미디어가 여성의 의복과 메이크업 및 헤어이미지에 미치는 영향 (The Effect of Mass Media on Women's Clothing Image, Make-up Image and Hair Image)

  • 최수경
    • 한국의상디자인학회지
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    • 제13권2호
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    • pp.35-46
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    • 2011
  • The purpose of this study was to investigate the effect of mass media on women's clothing image, make-up image, and hair image. The subjects of the study were 306 women who lived in Gyeongnam area. Data were collected during June in 2009. Statistical analysis used in this study were frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression. The results of this study were as follows. The mass media according to the demographic characteristic of women showed significant difference. Three factors of clothing image were titled as elegance, youth, and visibility. Three factors of make-up image were titled as modern, romanticism, and mediocrity. Four factors of hair image were titled as attraction, individuality, gentleness, and cuteness. The mass media resulted in correlation with the clothing image, make-up image, and hair image. The mass media had a influence on the clothing image, make-up image, and hair image. The study results are highly expected to be used as useful sources in one's image formation and a marketing plan.

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