• 제목/요약/키워드: Color discrimination

검색결과 126건 처리시간 0.021초

Blind Image Quality Assessment on Gaussian Blur Images

  • Wang, Liping;Wang, Chengyou;Zhou, Xiao
    • Journal of Information Processing Systems
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    • 제13권3호
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    • pp.448-463
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    • 2017
  • Multimedia is a ubiquitous and indispensable part of our daily life and learning such as audio, image, and video. Objective and subjective quality evaluations play an important role in various multimedia applications. Blind image quality assessment (BIQA) is used to indicate the perceptual quality of a distorted image, while its reference image is not considered and used. Blur is one of the common image distortions. In this paper, we propose a novel BIQA index for Gaussian blur distortion based on the fact that images with different blur degree will have different changes through the same blur. We describe this discrimination from three aspects: color, edge, and structure. For color, we adopt color histogram; for edge, we use edge intensity map, and saliency map is used as the weighting function to be consistent with human visual system (HVS); for structure, we use structure tensor and structural similarity (SSIM) index. Numerous experiments based on four benchmark databases show that our proposed index is highly consistent with the subjective quality assessment.

한옥건축물의 외관 이미지 인식에 관한 연구 - I.R.I 형용사 이미지 스케일을 활용하여 - (A Study on the Recognition of Exterior Image of Hanok Building - Using I.R.I Adjective Image Scale -)

  • 장성운;박대현
    • 한국농촌건축학회논문집
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    • 제25권4호
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    • pp.1-8
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    • 2023
  • This study is meaningful in figuring out how much the Korean people's awareness of hanok has increased even though interest in hanok has also increased due to the Korean Wave craze. Therefore, with respect to the exterior of hanok, which is visually recognized first, the level of experts and ordinary people is grasped through a semantic discrimination scale, and the degree of visual recognition is to be investigated centering on the color image of hanok buildings. This is the process of thinking about how the Korean image should be reflected in the design, and we want to suggest the direction that modern hanok should go. The study compared and analyzed the difference in visual color based on the elevation of the hanok using a 7-point and 5-point scale method for the general public and experts, and utilized the IRI adjective vocabulary scale and the color matching image scale to construct new hanoks with insufficient differences in appearance and shape. It can be applied to design and image preservation and construction of existing hanok.

컬러공간 특성을 이용한 유해 동영상 식별방법에 관한 연구 (An Identification Method of Detrimental Video Images Using Color Space Features)

  • 김성균;김창근;정대율
    • 한국산학기술학회논문지
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    • 제12권6호
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    • pp.2807-2814
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    • 2011
  • 본 논문은 컬러공간 특성을 이용하여 유해동영상을 식별하는 알고리즘을 개발하고, 실험을 통하여 알고리즘의 효율성을 검증한다. 유해동영상 식별 알고리즘은 2차원 투영맵에 기초하고 있다. 비디오 이미지의 컬러특성을 추출하는데 있어 2차원 투영맵은 후보 프레임을 효과적으로 추출하는데 적용되어진다. 본 연구에서는 제시된 유사도 계산 알고리즘을 이용하여 추출된 프레임과 기준 이미지 간의 유사도를 먼저 계산하고, 유사도 평가를 통하여 유해동영상 후보프레임을 식별해 내고 임계치를 적용하여 최종 판단을 내린다. 제시된 알고리즘을 적용한 실험결과, 유해동영상을 찾는데 있어 컬러히스토그램보다 본 연구에서 제안한 2차원 투영맵을 이용한 기법이 계산속도와 식별능력 면에서 더 우수함을 입증하였다.

흑인 여성 패션모델의 이미지 분석 (Image Analysis of Black Female Fashion Models)

  • 류수현;김민자
    • 복식
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    • 제59권2호
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    • pp.87-100
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    • 2009
  • This study examines black images as 'the other' in history and aims to analyze images of black female fashion models which have been changed in modern society, particularly in $21^{st}$ century post-modern world. Black images, established historically as illustrated on the paintings in $19^{th}$ century, were disseminated in $20^{th}$ century throughout the world especially by way of TV and movies as several typical images such as 'Coon' the clown as the object of entertainment, 'Buck' wild and resistant black rascal, and 'Mammy' obedient and fat black woman servant. The result of image analysis of black female fashion models, can be summarized as following five images. The first is the image of 'powerful'. Black female models frequently represent healthy image which reflects black people's excellence in sports and also the traditional Image of black skin color as strength. The second is the image of 'sexy'. They are adored as having perfect ideal body shape. They show off their sex appeal with their body. The third image is 'multicultural'. Black models represent cultures besides the western. The fourth is the image of 'fantastic'. In contrast to the real, resonable things, black female models represent wild, fancy, ghost things. The fifth is the image of 'racial discrimination' By arranging them in contrast to whites, a metaphoric image of racial discrimination can be displayed. The result shows that tome of racial images still remain on the other way.

Algorithm for Discrimination of Brown Rice Kernels Using Machine Vision

  • C.S. Hwang;Noh, S.H.;Lee, J.W.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.823-833
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    • 1996
  • An ultimate purpose of this study is to develop an automatic brown rice quality inspection system using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor for magnifying the input image and optical fiber for oblique illumination. Primarily , geometrical and optical features of sample images were analyzed with unhulled paddy and various brown rice kernel samples such as sound, cracked, green-transparent , green-opaque, colored, white-opaque and brokens. Secondary, an algorithm for discrimination of the rice kernels in static state was developed on the basis of the geometrical and optical parameters screened by a statistical analysis(STEPWISE and DISCRIM Procedure, SAS ver.6). Brown rice samples could be discriminated by the algorithm developed in this study with an accuracy of 90% to 96% for the sound , cracked, colored, broken and unhulled , about 81% for the green-transparent and the white-opaque and about 75% for the green-opaque, respectively. A total computing time required for classification was about 100 seconds/1000 kernels with the PC 80486-DX2, 66MHz.

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기계시각을 이용한 현미의 개체 품위 판별 알고리즘 개발 (Algorithm for Discrimination of Brown Rice Kernels Using Machine Vision)

  • 노상하;황창선;이종환
    • Journal of Biosystems Engineering
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    • 제22권3호
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    • pp.295-302
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    • 1997
  • An ultimate purpose of this study was to develop an automatic system for brown rice quality inspection using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor magnifying the input image and optical fiber for oblique lightening. Primarily, geometical and optical features of images were analyzed with paddy and the various brown rice kernel samples such as a sound, cracked, peen-transparent, green-opaque, colored, white-opaque and brokens. Secondary, geometrical and optical parameters significant for identifying each rice kernels were screened by a statistical analysis(STEPWISE and DISCRIM procedure, SAS wer. 6) and an algorithm fur on- line discrimination of the rice kernels in static state were developed, and finally its performance was evaluated. The results are summarized as follows. 1) It was ascertained that the cracked kernels can be detected when e incident angle of the oblique light is less than 2$0^{\circ}C$ but detectivity was significantly affected by the angle between the direction of the oblique light and the longitudinal axis of the rice kernel and also by the location of the embryo with respect to the oblique light. 2) The most significant Parameters which can discriminate brown rice kernels are area, length and R, B and r values among the several geometrical and optical parameters. 3) Discrimination accuracies of the algorithm were ranged from 90% to 96% for a sound, cracked, colored, broken and unhulled, about 81 % for green-transparent and white-opaque and 75 % for green-opaque, respectively.

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화물 검색 시스템을 위한 듀얼 에너지 X-ray 검색기 영상을 이용한 물질 추정 방법 (Material Estimation Method Using Dual-Energy X-Ray Image for Cargo Inspection System)

  • 이태범;강현수
    • 한국산업정보학회논문지
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    • 제23권1호
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    • pp.1-12
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    • 2018
  • 본 논문은 듀얼 에너지 X-ray 검색기의 영상을 이용한 물질의 추정 방법 알고리즘을 제안한다. 물질 추정 알고리즘으로 많이 사용되는 기존 4가지 분별 곡선 이외에 로그 함수를 사용한 새로운 분별곡선을 이용하여 물질을 분류한다. 여기에 기존의 선형 보간을 이용한 원자번호 추정 방법이 아닌 확률분포를 이용한 원자번호 추정 방법을 제시한다. 확률분포를 이용한 가중치 계산에는 근접한 두 기준물질을 사용하는 방법과 모든 기준물질을 사용하는 방식, 2가지 방식을 실험하였다. 확률분포를 가중치로 사용하여 물질의 원자번호를 추정 할 경우 기존의 방법보다 더 정확한 원자번호 추정 결과를 나타내었다. 추정된 원자번호를 육안으로 확인하기 위하여 HSI 모델을 이용하여 결과영상에 채색하였다.

도축장의 생.해체검사를 통한 경산우 및 미경산우 감별법(II) (Discrimination of cows from heifers by antemortem and postmortem inspection in slaughterhouses (II))

  • 최임용;최태석;이달주;이해영;김연하;이경혜;노창식;김규현;김은;신방우;이정학
    • 한국동물위생학회지
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    • 제31권3호
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    • pp.375-384
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    • 2008
  • This study was performed to establish the discrimination of the corpus albicans that were formed after normal parturition and abortion in Holstein, The corpus albicans were obtained from 504 cows and 506 heifers slaughtered in the Agricultural Cooperative's Livestock Products Joint Market of Seoul City from March 2007 to October 2007. The difference in a gross examination (morphology, fibrogenesis, deposit state, color, and size) among the fixtures that exist in their ovaries was investigated. All of the cows had corpus albicans in their ovaries: 423 cows (83.9%) had less than three corpus albicans, 81 (16.1%) had more than four. In the heifers, however, 463 (91.05%) had no corpus albicans, 39 (7.7%) had one, and four (0.8%) had more than two. In the types of corpus albicans 73.2% of the cows had oval-type, 14.4% had circular-shaped, 12.4% had irregular-type. In the aborted heifers, however, oval-type appeared in 88.6% and circular-shaped appeared in 11.4%, and no irregular-type was found. There was no significant difference in the fibrogenesis and size of corpus albicans between cows and aborted heifers. However, slight difference in the color of the corpus albicans was observed between two types. In conclusion, it is not easy to discriminate by gross examination of ovary between cows and aborted heifers in the slaughter house.

도축장의 생.해체검사를 통한 경산우 및 미경산우 감별법(I) (Discrimination of cows from heifers by antemortem and postmortem inspection in slaughter house)

  • 최임용;최태석;이달주;이해영;노창식;김규현;김은;권택부;이정학
    • 한국동물위생학회지
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    • 제30권3호
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    • pp.429-436
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    • 2007
  • This study was performed to make helpful standard for discrimination of cows from heifers by uterine and ovarian section inspection. A total of 3,736 heifers and 249 cows were inspected from January to November 2006 in Karak Market Slaughter house. Firstly, it was obvious that non-corpus albicans were observed in almost heifers(3,597/3,736, 96.3%), but there were distinctive corpus albicans in all cows (249/249 100%). Secondly, another evident was that the length and diameter of the horn in uterus was below 30mm in 94.5% (3,267/3,736) heifers, but above 30mm in 90.4% (225/245) cows, and it was easy to distinguish between right and left horn by difference of size in 87.6% (218/249) cows. Thirdly the diameters of pelvic cavity was below 220mm in 96.8% (3,615/3,736) heifers, but was over 200mm in 85.1% (212/249) cows. Fourthly another difference was found in second sacrum union condition and 13th thoracic vertebral process's states. In case of heifers, it was distinctive five lines in each second sacrum, but it was non-distinctive or united in the same each lines of the sacrum in cows. Fifthly in the results of 13th thoracic vertebral colors, the ratio between red color and white color was 7 : 3 in heifers (3,385/3,736, 90.6%), but that was 2 : 8 in cows (199/249, 79.9%). Consequently, it was possible to use the method which discriminated cows from heifers by uterine and ovarian section inspection in large scaled field slaughter house.

아파트 모델하우스 인테리어 색채특성에 관한 조사연구 -$2001{\sim}2004$년 부산지역 분양 아파트를 중심으로- (Analysis of Color Characteristics of the Apartment Model House -Sale in lots Apartment in Busan, $2001{\sim}2004$-)

  • 정유경;김진옥
    • 디자인학연구
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    • 제18권4호
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    • pp.15-24
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    • 2005
  • 다양한 스타일의 주거공간에 대한 요구가 증가함과 더불어 점차 색채가 차지하는 중요성이 확대되어 주거공간에서의 색채의미가 부각되고 있으며, 다양화되어 가는 사회적인 변화에 맞는 색채계획의 필요성이 인식되고 있다. 본 연구에서는 주거공간에서의 색채에 대한 중요성 인식을 바탕으로 한 다양한 색채계획이 이루어져야 한다는 관점에서, 최근에 분양된 아파트 모델하우스의 색채 경향을 분석하여 주거공간 색채 디자인의 가이드 라인을 제시하고자 한다. $2001{\sim}2004$년 사이 부산지역에서 분양되어진 모델하우스를 중심으로 평형별, 공간별의 4배색(벽/천정, 가구류, 창호류, 바닥)을 통해 형용사 이미지를 도출하는 정성적 분석방법과 'Hue & Tone 120 색체계'를 이용한 빈도분석을 통한 색채 사용 현황을 파악하였다. 본 연구의 색채 분석 결과를 보면 공간별로는 차별화를 주기 위한 색채계획 보다는 유기적인 관계를 고려한 통일감을 주기 위한 방향으로 계획이 이루어지고 있으며, 평형대별로는 면적의 확대 감이나 고급스러움을 나타내기 위해 차별화 된 색채 경향을 나타내는 것을 알 수 있었다.

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