• 제목/요약/키워드: MeanShift

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Test for an Outlier in Multivariate Regression with Linear Constraints

  • Kim, Myung-Geun
    • Communications for Statistical Applications and Methods
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    • 제9권2호
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    • pp.473-478
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    • 2002
  • A test for a single outlier in multivariate regression with linear constraints on regression coefficients using a mean shift model is derived. It is shown that influential observations based on case-deletions in testing linear hypotheses are determined by two types of outliers that are mean shift outliers with or without linear constraints, An illustrative example is given.

Bilateral 필터와 Mean-Shift 알고리즘을 이용한 의상 색상 분석기법 (Clothing Color Analysis Techniques using Bilateral Filter and Mean-Shift Algorithm)

  • 김혜민;정창성
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2015년도 추계학술발표대회
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    • pp.1413-1415
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    • 2015
  • 본 논문에서 우리는 의상영역의 유사성을 검사 시 색상분석에 있어 정확도를 향상시키기 위해 Bilateral 필터와 Mean-Shift 알고리즘을 적용하였다. 본 연구의 평가부분에서 필터를 적용한 영상이 의상영역의 구김이나 빛에 의한 영향이 필터를 적용하지 않은 영상보다 적다는 것을 실험을 통해 증명한다.

Mean Shift 알고리즘과 Canny 알고리즘을 이용한 에지 검출 향상 (Using mean shift and self adaptive Canny algorithm enhance edge detection effect)

  • ;신성윤;이양원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2008년도 제39차 동계학술발표논문집 16권2호
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    • pp.207-210
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    • 2009
  • Edge detection is an important process in low level image processing. But many proposed methods for edge detection are not very robust to the image noise and are not flexible for different images. To solve the both problems, an algorithm is proposed which eliminate the noise by mean shift algorithm in advance, and then adaptively determine the double thresholds based on gradient histogram and minimum interclass variance, With this algorithm, it can fade out almost all the sensitive noise and calculate the both thresholds for different images without necessity to setup any parameter artificially, and choose edge pixels by fuzzy algorithm.

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에지 추출 향상을 위한 Mean Shift 알고리즘의 이용 (Using Mean Shift Algorithm Enhance Edge Detection Effect)

  • ;신성윤;이양원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2008년도 제39차 동계학술발표논문집 16권2호
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    • pp.211-214
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    • 2009
  • Edge detection always influenced by noise belong to the original image, therefore need use some methods to sort this issue, mean shift algorithm has the smooth function which suit for the edge detection purpose, so adopted to fade out the unimportant information, and the sensitive noise portions. After this section, use the Canny algorithm to pick up the contour of the objects we focus on, meanwhile select the Soble operator that has the orientation attribute to support the method work well. In final, take experiment and get the perfect result we wanted, make sure this method make sense and better than the sole Edge detection algorithm,

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평균이동 분할을 이용한 임펄스 잡음제거 (Cleaning Method of Impulse Noise Using Mean Shift Segmentation)

  • 권영만;임명재
    • 한국인터넷방송통신학회논문지
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    • 제9권6호
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    • pp.163-168
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    • 2009
  • 본 논문에서는 평균이동 분할을 이용해서 임펄스 잡음을 제거하는 효과적인 방법을 제안한다. 이 방법은 영상에 모든 화소에 대해서 필터링 작업을 하는 기존의 방법과는 달리 평균이동 분할을 사용해서 임펄스 잡음의 위치를 추정하고 그 위치에서만 필터링 작업을 수행하는 방식이다. 실험을 통해 결과 영상의 오차의 제곱의 합을 측정하여 화질이 개선되고, 임펄스 잡음이 효과적으로 제거되는 것을 확인하였다.

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Mean Shift 알고리즘을 활용한 경계선 검출의 발전 (Progress of Edge Detection Using Mean Shift Algorithm)

  • 장대현;박상준;박기홍;정경택;황재정
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.137-139
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    • 2011
  • 영상에서의 경계선 추출은 원 영상의 노이즈에 의해 크게 영향을 받는다. 따라서 먼저 그 노이즈들을 제거할만한 어떤 방법들이 필요하다. Mean Shift 알고리즘은 이러한 목적에 부합되는 유연한 함수로서, 별로 중요하지 않은 정보와 민감한 노이즈 부분을 점점 제거하는데 알맞다. 여기서는 Canny 알고리즘을 사용하여 중점으로 하는 영상에서의 윤곽선을 찾아낸다. 그리고 테스트 하고 이전의 유일한 Canny 알고리즘 보다 결과가 좋음을 알아낸다.

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Mean Shift 알고리즘을 이용한 효율적인 문자 추출 (An Efficient Text Location using Mean Shift Algorithm)

  • 정기철;김광인;한정현
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2001년도 춘계학술발표논문집 (상)
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    • pp.123-126
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    • 2001
  • 영상내의 문자 정보는 색인에 필요한 유용한 정보를 제공하므로, 이를 이용한 멀티미디어 데이터의 인덱싱기법이 최근 많이 연구되고 있다. 본 논문은 mean shift 알고리즘을 이용한 텍스춰 기반의 문자 영역 추출 방법을 제안한다. 다양한 크기와 모양의 문자에 적응성을 가지는 필터를 만들기 위해 신경망을 이용한다. 문자 영역의 위치와 크기는 문자 확률 영상상에서 mean shift 알고리즘을 이용하여, 국소 탐색만으로 별도의 후처리 과정 없이 기존의 문자 추출 방법보다 우수한 성능을 보인다.

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교대 여부에 따른 기혼간호사의 역할갈등과 직무만족도 (A Comparative Analysis on the Married Nurses' Role Conflict and Job Satisfaction in Accordance with Shift Work)

  • 정수경;정혜선
    • 한국직업건강간호학회지
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    • 제13권2호
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    • pp.118-129
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    • 2004
  • Purpose: The purpose of this study is to investigate effects of shift work on married nurses' role conflict and job satisfaction. Method: Study subjects consisted of married nurses employed at four general hospitals with over 500 beds located in Seoul and Kyunggi area. The data were collected from March 15th to April 7th, 2004 using the survey and the subjects were asked to reply through self-administrative method. Results: Mean value of role conflict of nurses who worked shift work was measured 3.12 out of 5, and that of nurses who did not was measured 2.98. Mean value of job satisfaction of nurses who worked shift work was measured 2.79 out of 5, and that of nurses who did not was measured 2.86. There was a significant reverse correlation between mean level of role conflict and of job satisfaction. Both groups, nurses who worked shift work and nurses who did not, showed significant reverse-correlation in two areas. In the case of nurses who worked shift work, role conflict not showed a significant correlation. Job satisfaction showed a significant correlation with the plan to work as a nurse and remuneration in the case of nurses who worked shift work. Duty of supporting family was the factor affecting role conflict and measured 4.2% in the case of nurses who worked shift work, and the plan to work as a nurse and the academic background in the case of nurses who did not work shift work. Conclusion: To reduce role conflict and to improve the degree of job satisfaction, there should be taken a measure to improve a financial compensating system for working shift work for nurses who worked shift work, and to help nurses not working shift work to design plans for their job as nurses with stability.

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GLR Charts for Simultaneously Monitoring a Sustained Shift and a Linear Drift in the Process Mean

  • Choi, Mi Lim;Lee, Jaeheon
    • Communications for Statistical Applications and Methods
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    • 제21권1호
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    • pp.69-80
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    • 2014
  • This paper considers the problem of monitoring the mean of a normally distributed process variable when the objective is to effectively detect both a sustained shift and a linear drift. The design and application of a generalized likelihood ratio (GLR) chart for simultaneously monitoring a sustained shift and a linear drift are evaluated. The GLR chart has the advantage that when we design this chart, we do not need to specify the size of the parameter change. The performance of the GLR chart is compared with that of other control charts, such as the standard cumulative sum (CUSUM) charts and the cumulative score (CUSCORE) charts. And we compare the proposed GLR chart with the GLR charts designed for monitoring only a sustained shift and for monitoring only a linear drift. Finally, we also compare the proposed GLR chart with the chart combinations. We show that the proposed GLR chart has better overall performance for a wide range of shift sizes and drift rates relative to other control charts, when a special cause produces a sustained shift and/or a linear drift in the process mean.