• Title/Summary/Keyword: Region's Image

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

  • 이은국;김장복
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.5
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    • pp.663-674
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    • 1993
  • In this paper, a DCT image coding algorithm using the human visual property is proposed. Human visual is relatively sensitive to noise in the darker region, insensitive to noise in the brighter region. This property was proved by Weber's law through psycovisual experiment. Weber's law states that the just noticeable difference (j.n.d.) is proportional to intensity. Therefore, the implication of this observation for image processing is that reducing noise in the darker region is more important than reducing noise in the brighter region. In this proposed coding scheme AC coefficients in the darker region are more finely quantized than those in the brighter region. Results showed that, at low bit rate, the subjective quality of reconstructed images by proposed coding scheme is improved than that of coding scheme without considering human visual property.

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

  • Han, M.H.;Kim, K.S.;Yoon, T.H.;Shin, S.W.;Kim, I.Y.
    • Proceedings of the KIEE Conference
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    • 2005.05a
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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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Microscopic Image-based Cancer Cell Viability-related Phenotype Extraction (현미경 영상 기반 암세포 생존력 관련 표현형 추출)

  • Misun Kang
    • Journal of Biomedical Engineering Research
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    • v.44 no.3
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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.

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

  • Won, C.H.;Chae, S.P.;Koo, S.M.;Kim, M.N.;Cho, J.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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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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Influencing the Factors on Obesity in Upper-Grade Elementary School Children (초등학교 고학년 아동의 비만 영향 요인)

  • Jang, Ji Hye;Kwon, Myung Soon
    • Journal of Korean Public Health Nursing
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    • v.31 no.1
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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.

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

  • Kim, Seon-Jong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.9
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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.

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

  • 서영호;김주년;안중환
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.6
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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.

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

  • Kim, Kwang Baek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.865-871
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    • 2022
  • In this paper, we propose a method of extracting prostate region using morphological characteristics of ultra-sonic image of prostate. In the first step of the proposed method, the edge area of the prostate image is extracted. The histogram of ultra-sonic image is used to extract base objects to detect the upper edge of prostate region by altering the contrast of the image, then, the lower edges of the extracted base objects are connected by using monotone cubic spline interpolation to extract the upper edge. Step 2, Otsu's binarization is applied to the region under the extracted upper edge of the prostate ultra-sonic image to extract the lower edge of prostate. In the last step, the upper and the lower edges are connected to extract prostate region and by comparing the extracted region of prostate with the one measured manually, the result showed that the morphological characteristics of prostate in ultrasonic image can be utilized to extract the prostate region.

Image Retrieval Using Space-Distributed Average Coordinates

  • H. W. Chang;E. K. Kang;Park, J. S.
    • Proceedings of the IEEK Conference
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    • 2000.07b
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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
    • Proceedings of the KSRS Conference
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    • 1999.11a
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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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