• 제목/요약/키워드: Region's Image

검색결과 866건 처리시간 0.024초

웨버의 법칙을 고려한 DCT 영상 부호화에 관한 연구 (A Study on the DCT Image Coding Considering Weber's law)

  • 이은국;김장복
    • 한국통신학회논문지
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    • 제18권5호
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    • pp.663-674
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    • 1993
  • 본 논문에서 인간의 시각특성을 고려한 적응적 DCT 영상 부호화 방법이 제안되었다. 인간의 시각은 어두운 부분에서 잡음에 상대적으로 덜 민감하다. 이러한 특성은 Weber의 법칙으로 설명된다. 즉, Weber의 법칙은 인간의 감지가능차(j.n.d)가 영상의 밝기에 비례함을 말한다. 그러므로 이러한 특성이 영상처리에 응용될 때 밝은 영역에서 잡음을 줄이는 것 보다는 어두운 영역의 잡음을 줄이는 것이 중요하다. 따라서 본 논문에서는 DCT 계수의 AC 계수를 그 블럭의 평균적 밝기를 의미하는 DC 계수로 정규화함으로써 상대적 어두운 부분의 AC 계수를 세밀하게, 밝은 부분의 AC 계수를 거칠게 양자화하였다. 주관적 평가 결과 낮은 비트율에서, 제안된 부호화 방법이 Weber의 법칙을 고려하지 않은 방법보다 향상됨을 알 수 있었다.

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YCbCr 컬러 영상 변환을 통한 얼굴 영역 자동 검출 (Facial Region Tracking in YCbCr Color Coordinates)

  • 한명희;김경섭;윤태호;신승원;김인영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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    • pp.63-65
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    • 2005
  • In this study, the automatic face tracking algorithm is proposed by using the color and edge information of a color image. To reduce the effects of variations in the illumination conditions, an acquired CCD color image is first transformed into YCbCr color coordinates, and subsequently the morphological image processing operations, and the elliptical geometric measures are applied to extract the refined facial area.

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현미경 영상 기반 암세포 생존력 관련 표현형 추출 (Microscopic Image-based Cancer Cell Viability-related Phenotype Extraction)

  • 강미선
    • 대한의용생체공학회:의공학회지
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    • 제44권3호
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    • pp.176-181
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    • 2023
  • During cancer treatment, the patient's response to drugs appears differently at the cellular level. In this paper, an image-based cell phenotypic feature quantification and key feature selection method are presented to predict the response of patient-derived cancer cells to a specific drug. In order to analyze the viability characteristics of cancer cells, high-definition microscope images in which cell nuclei are fluorescently stained are used, and individual-level cell analysis is performed. To this end, first, image stitching is performed for analysis of the same environment in units of the well plates, and uneven brightness due to the effects of illumination is adjusted based on the histogram. In order to automatically segment only the cell nucleus region, which is the region of interest, from the improved image, a superpixel-based segmentation technique is applied using the fluorescence expression level and morphological information. After extracting 242 types of features from the image through the segmented cell region information, only the features related to cell viability are selected through the ReliefF algorithm. The proposed method can be applied to cell image-based phenotypic screening to determine a patient's response to a drug.

시간 영역에서 획득된 초음파 영상의 심내강 영역에 대한 3차원 표현 (3-D Representation of Cavity Region from Ultrasonic Image Acquired in the Time Domain)

  • 원철호;채승표;구성모;김명남;조진호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 춘계학술대회
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    • pp.119-122
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    • 1997
  • In this paper, we represented the variation of heart cavity area in the space domain by 3-d rendering. We arranged the 2-d sequence of ultrasonic image acquired in the time domain as volumetric data, and extracted heart cavity region from 3-d data. For the segmentation of 3-d volume data, we extracted the cavity region using the method of expanding the cavity region that is same statistical property. By shading which is using light and object normal vector, we visualized the volume data on image plane.

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초등학교 고학년 아동의 비만 영향 요인 (Influencing the Factors on Obesity in Upper-Grade Elementary School Children)

  • 장지혜;권명순
    • 한국보건간호학회지
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    • 제31권1호
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    • pp.162-177
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    • 2017
  • Purpose: The purpose of this study was to investigate the degree of obesity and dietary self-efficacy scale and to identify factors that affect obesity in upper-grade elementary school students. Methods: A total of 458 fifth to sixth grade elementary school students in Seoul and Chuncheon city, and rural areas of Gangwon Province, were included in this study. The data was analyzed by descriptive statistics, ${\chi}^2$-test, t-test, ANOVA, and logistic regression. Results: The results revealed significant differences in the obesity region, perceived body image, experience of weight loss, family member of mother's age, mother's job and father's job between 'not obesity group' and 'obesity group'. The logistic regression analysis revealed that obesity was related with gender, region, and perceived body image. Conclusion: Gender, region, and perceived body image showed a relationship with obesity in upper-grade elementary school students. Thus, to develop obesity management program for upper grade elementary school students, we should be considered the gender, region, and perceived body image should be considered.

2D 영상의 효과적인 부분 정합 시스템과 영역기반 영상 표현 (An Efficient Partial Matching System and Region-based Representation for 2D Images)

  • 김선종
    • 제어로봇시스템학회논문지
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    • 제13권9호
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    • pp.868-874
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    • 2007
  • This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

경면 거칠기 측정을 위해 레이저 입사 강도 조정에 의한 정반사 광량 추정 알고리즘 개발 (Estimation of Specular Light Power by Adjusting Incident Laser Power for Measuring Mirror-Like Surface Roughness)

  • 서영호;김주년;안중환
    • 한국정밀공학회지
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    • 제21권6호
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    • pp.94-101
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    • 2004
  • From the Beckmann's reflection model of wave incident, reflected light from a surface is known to have not only specular but also diffuse components. The specular component dominant a surface for a mirror-like surface is distributed on the almost the same area as the spot on the surface, but the diffuse component region dominant f3r a rough surface spreads scattered on the larger areas than the spot. Therefore, statistic parameters from the scattered light distribution are more meaningful in the diffuse region, while the magnitude of rather meaning in the specular region. In usual, there need two sensors to acquire two kinds of information: Photo-detector for light intensity magnitude and image sensor for light intensity distribution. But dual sensor scheme requires a beam splitter usually to feed light to each sensor, and moreover there is not a combination rule to relieve the different sensor characteristics. In this study a new method is proposed for acquisition of the dual information using only an image sensor. Specular region is established on an image area being distinguished from a diffuse component, and laser power is adjusted so that no pixel of the image sensor in the specular region is saturated. Simulation based on the light reflection theory and the experimental results are quite well matched, and thus the proposed method was proved to be very useful for mirror-like surface measurement.

형태학적 특징을 이용한 초음파 영상에서의 자동 전립선 분할 (Automatic Prostate Segmentation from Ultrasound Images using Morphological Features)

  • 김광백
    • 한국정보통신학회논문지
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    • 제26권6호
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    • pp.865-871
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    • 2022
  • 본 논문에서는 전립선 초음파 영상에서 형태학적 특징을 이용하여 전립선 영역을 검출하는 방법을 제안한다. 제안된 방법의 첫 단계에서는 전립선 영역의 상단 경계선을 추출한다. 초음파 촬영으로 획득한 영상에서 히스토그램 정보를 이용해 명암대비를 조정하여 전립선 영역의 상단 경계선을 검출하기 위한 기준 객체들을 추출하고, 기준 객체들의 하단 경계선을 Monotone cubic spline 보간법을 적용하여 상단 경계선을 추출한다. 두 번째 단계에서는 전립선 초음파 영상에서 추출한 상단 경계선보다 아래에 위치한 영역에 대해 오츠 이진화를 적용하여 전립선 하단 경계선을 추출한다. 마지막으로 전립선 상단 경계선과 하단 경계선을 연결하여 전립선 영역을 추출한다. 수동으로 측정한 전립선 영역과 비교 분석한 결과, 전립선 초음파 영상이 갖는 형태학적 특징을 이용한 방법으로 전립선 영역을 추출할 수 있는 것을 확인하였다.

Image Retrieval Using Space-Distributed Average Coordinates

  • H. W. Chang;E. K. Kang;Park, J. S.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.894-897
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    • 2000
  • In this paper, we present a content-based image retrieval method that is less sensitive to some rotations and translations of an image by using the fuzzy region segmentation. The algorithm retrieves similar images from a database using the two features of color and color spatial information. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented region. Furthermore, we also propose the alternative to the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm.

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AVHRR MOSAIC IMAGE DATA SET FOR ASIAN REGION

  • Yokoyama, Ryuzo;Lei, Liping;Purevdorj, Ts.;Tanba, Sumio
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.285-289
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    • 1999
  • A processing system to produce cloud-free composite image data set was developed. In the process, a fine geometric correction based on orbit parameters and ground control points and radiometric correction based on 6S code are applied. Presently, by using AVHRR image data received at Tokyo, Okinawa, Ulaanbaatar and Bangkok, data set of 10 days composite images covering almost whole Asian region.

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