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Classification of Apple Coloration Using Image Processing System (영상처리(映像處理) 장치(裝置)를 이용(利用)한 사과의 색택(色澤) 판정(判定))

  • Noh, S.H.;Ryu, K.H.;Kim, S.M.
    • Journal of Biosystems Engineering
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    • v.16 no.3
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    • pp.272-280
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    • 1991
  • The aims of this study were to investigate the feasivility of analyzing a few sorting factors such as size, coloration and defect of apples with a monochrome image processing system and to find apparent properties which could be effectively used for apple sorting. The results are summarized as follows. 1. A computer program was made to analyze the projection area, coloration and defect of an apple with a monochrome image processing system. 2. The algorithm developed to compute the projedtion area of an apple was between on the proportional relation between a given reference area and the corresponding number of pixels, and the computing time was 0.74 to 0.82 second depending on the size of apple. 3. The coloration of an apple was expressed as the ratio of the gray value of a reference color to that of a given bounded area of the stem end surface (defined as coloration index), and the computing time was about 3.0 seconds with this algorithm. 4. Defect of an apple could be isolated by lowpass filtering and image subtraction but it took about 20 seconds in computing time. 5. The coloration of the Fuji apple could be classified into 3 to 4 groups by the coloration index and also, it was found that the correlation coefficient between the indices and sugar contents was 0.74. 6. The coloration index obtained from a given bounded area of the stem end side of the Fuji apple could represent the coloration of total surface with a correlation coefficient of 0.922.

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Post Processing to Reduce Wrong Matches in Stereo Matching

  • Park, Hee-Ju;Lee, Suk-Bae
    • Korean Journal of Geomatics
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    • v.1 no.1
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    • pp.43-49
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    • 2001
  • Although many kinds of stereo matching method have been developed in the field of computer vision and photogrammetry, wrong matches are not easy to avoid. This paper presents a new method to reduce wrong matches after matching, and experimental results are reported. The main idea is to analyze the histogram of the image attribute differences between each pair of image patches matched. Typical image attributes of image patch are the mean and the standard deviation of gray value for each image patch, but there could be other kinds of image attributes. Another idea is to check relative position among potential matches. This paper proposes to use Gaussian blunder filter to detect the suspicious pair of candidate match in relative position among neighboring candidate matches. If the suspicious candidate matches in image attribute difference or relative position are suppressed, then many wrong matches are removed, but minimizing the suppression of good matches. The proposed method is easy to implement, and also has potential to be applied as post processing after image matching for many kinds of matching methods such as area based matching, feature matching, relaxation matching, dynamic programming, and multi-channel image matching. Results show that the proposed method produces fewer wrong matches than before.

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Defecfion of Face Feafures using Extended Valley Energy (확장된 계곡에너지를 이용한 얼굴특징점 검출)

  • Park, In-Kyu;Ahn, Bo-Huck;Choi, Gyoo-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.187-192
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    • 2009
  • In this paper the extended algorithm of valley energy was proposed In order to detect the robust features of the face The proposed energy had the variable type without the constant size of valley mask for measuring the gray value among pixels By accumulating the results generated by the various masks the information of valley energy was so diversified. Then the robust energy which is independent of the environments was maded. The various experiments proved that The proposed method showed the detection rate of 98 percentage in the features of the face region.

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AN EXPERIMENTAL STUDY ON THE TOOTH ROOT RESORPTION FOR DIGITAL RADIOGRAPHY (디지털 방사선 촬영술을 이용한 치근 흡수 판독에 관한 실험적 연구)

  • Oh Phill-Gyo;Kim Jae-Duk
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.25 no.2
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    • pp.375-387
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    • 1995
  • The purpose of this study was to quantitatively evaluated experimental tooth root resorption for digital radiography. For this study, experimentally three root sites were used, and radiograms were taken with standardized apparatus. Digital imaging system were consisted of NEC PC-980l(computer), TRINITRON(monitor), SONY XC-711 CCD camera. The display monitor had a resolution of 512X512 pixels. The obtained results were as follows: 1. In the difference of the four X-ray film of the contrast correction, the contrast difference was one gray scale variation at mean value. 2. Viewing of the view box of the periapical radiographs, experimental tooth root resorption of the periapical area of the first premolar, middle of mesial surface of the first molar mesial root, middle of lingual surface of the first molar distal root were recognized by increased diameter. 3. On the analysis by histogram, the periapical area of the first premolar, the middle of mesial surface of the first molar mesial root were each recognized tooth root resorption of the 5,6,7 pixel, 2,4,5 pixel by increased diameter. 4. On the analysis by histogram, the middle of lingual surface of the first molar distal root was each recognized tooth root resorption of the none, 3,6 pixel by increased diameter.

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A Study on the Ugliness Images Expressed in Modern Make-up -Focused on the Color Expressions- (현대 메이크업에 표현된 추 이미지에 관한 연구 -색채 표현을 중심으로-)

  • 변영희;채금석
    • Journal of the Korean Society of Costume
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    • v.54 no.5
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    • pp.27-39
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    • 2004
  • Since around 1990. some experimental and shocking ugliness images have been expressed in Fashion and Make-up as well as Fine arts. The purpose of this study is to investigate the trends of ugliness images expressed in Modern Make-up from 1995 to 2003, especially focusing on color, and to enlarge the expressions through formative elements and to anticipate the prospect of Make-up in the future. Ugliness is the most negative aesthetic value which is lack of beauty. The 20 century art trends representing the ugly shape have been distorted or deformed or destroyed and extremely exaggerated with yellow, red, black, blue, white, green. The image and color of ugliness can be summarized as historical, avant-garde, decadence, de-constructive, humorous, futuristic trend and Most of colors are the achromatic ones like black, white, dark gray and red. blue, dark brown and so on. These colors cause some negative attributes such as fear. anger, death, devil, Pain, bad, ill omen, sorrow, despair and the like. At the turning Point in 21C are to be extended the range of color according to the experimental attempts such as informal, collage, graphic and the forth. Lastly, The characteristics of ugliness images expressed in the color of Modern Make-up have been analyzed into formlessness and inaccuracy and deformation by Karl Rosenkranz's theory.

Automate Capsule Inspection System using Computer Vision (컴퓨터 시각장치를 이용한 자동 캡슐 검사장치)

  • 강현철;이병래;김용규
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1445-1454
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    • 1995
  • In this study, we have developed a prototype of the automatic defects detection system for capsule inspection using the computer vision techniques. The subjects for inspection are empty hard capsules of various sizes which are made of gelatine. To inspect both sides of a capsule, 2-stage recognition is performed. Features we have used are various lengths of a capsule, area, linearity, symmetricity, head curvature and so on. Decision making is performed based on average value which is computed from 20 good capsules in training and permission bounds in factories. Most of time-consuming process for feature extraction is computed by hardware to meet the inspection speed of more than 20 capsules/sec. The main logic for control and arithmetic computation is implemented using EPLD for the sake of easy change of design and reduction in time for developement. As a result of experiment, defects on size or contour of binary images are detected over 95%. Because of dead zone in imaging system, detection ratio of defects on surface, such as bad joint, chip, speck, etc, is lower than the former case. In this case, detection ratio is 50-85%. Defects such as collet pinch and mashed cap/body seldom appear in binary image, and detection ratio is very low. So we have to process the gray-level image directly in partial region.

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INTERPRETING A SINGLE ANTISTREPTOLYSIN O TEST: A COMPARISON OF THE 'UPPER LIMIT OF NORMAL' AND LIKELIHOOD RATIO METHODS

  • Gray Gregory C.;Struewing Jeffery P.;Hyams Kenneth C.;Escamilla Joel;Tupponce Alan K.;Kaplan Edward L.
    • 대한예방의학회:학술대회논문집
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    • 1994.02b
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    • pp.164-168
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    • 1994
  • Single serologic tests may occasionally influence clinicians in making diagnoses. The antistreptolysin O (ASO) test is a frequently used tool for detecting recent Streptococcus pyogenes infection and is helpful in the diagnosis of diseases like rheumatic fever. Using data from a 1989 prospective study of 600 healthy male military recruits, in which 43% experienced S. pyogenes upper respiratory tract infection (2-dilution rise in ASO), this report compared two methods of interpreting a single ASO titer. Using the 'upper limit of normal' (80 percentile) method, recruits with an ASO titer of greater than 400 showed evidence of recent S. pyogenes infection. This method had a sensitivity and specificity of only 65.9 and 81.9% respectively. In contrast to the 'yes-no'. dichotomy of the 'upper limit of normal' method. the likelihood ratio method statistics were ASO value specific, more consistent with clinical judgment, and better emphasized the caution clinicians must use in interpreting a single ASO test.

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Dynamic Threshold Value Decision in Image Binarization using Neural Network and Vi sion System (신경망과 비젼 시스템을 이용한 영상의 이진화에서 동적 임계값 설정)

  • 김영탁;문희근;김수정;김관형;탁한호;이상배
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.313-316
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    • 2002
  • 이동 물체의 이동 거리 추적이나 대상 물체의 인식과 판별 물체의 특징 추출과 같은 응용분야에서 컴퓨터(Computer)와 비젼시스템(vision system)을 이용한 영상 데이터 처리 분야에 대한 이용률이 증가하면서, 그에 따른 연구가 활발히 진행되고 있다. 따라서 CCD 카메라(Charge-Couple Device Camera)로부터 입력된 그레이 레벨(Gray Level)의 영상을 입력받아 처리과정을 거쳐 위치정보를 전송하는 과정에서 정확한 정보를 얻기 위한 전처리 과정 방법을 제안하고, 실제 시스템에 적용한 결과를 제시한다. 여기서 영상의 전처리 과정 중 입력 영상에서 불필요한 부분을 제거하거나, 배경과 대상물의 분리, 내포된 잡음을 없애기 위하여 흔히 이진화 방법을 많이 사용한다 특히 이진화 과정에서 그레이 레벨의 입력영상에서 히스토그램(histogram) 정보를 이용하여 영상의 이진화시의 임계값을 찾는 것은 아주 중요한 요인이다 따라서 본 논문에서는 신경회로망을 이용하여 실시간으로 CCD 카메라를 통하여 입력되는 그레이 레벨의 입력 영상에 대하여 동적으로 적당한 임계값을 .찾는 방법을 제안하고자한다. 또한 제안한 신경회로망을 이용한 임계값 추출 알고리즘(algorithms)을 구현한 시스템(system)에 적용하여 일반적인 방법과 비교 검토하고 응용 가능성을 확인한다.

A Study on the Four-Season Cooling Performance by Color of Water Proofing Membrane Materials Considering the View of Area (지역의 경관을 고려한 도막방수재의 색채별 사계절 차열 및 축열 성능에 관한 연구)

  • Ko, Jin-Soo;Kim, Byung-Yun
    • Journal of the Korean Institute of Rural Architecture
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    • v.17 no.2
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    • pp.9-16
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    • 2015
  • This study comparatively analyzed thermal characteristics of the green color, which is currently used the most, and other various colors of a rooftop urethane water proofing sheet. This study also analyzed the cooling performance by color of the water proofing sheet that fused cooling paints, and presented the effective water proofing sheet color for building energy savings. The experimental results are as follows: (1) The value of L (brightness) diminished, and brilliance also became lower from the white color to the black color, and thus, it was confirmed that relatively more heat was absorbed. In a and b chromaticity, which is the color attribute that ignores brightness, no special relationship was identified. (2) Considering that the cooling performance effect is bigger in summer than winter, due to heat reflection, the white water proofing sheet is more effective in building energy savings than the green water proofing sheet that is currently used the most. (3) The water proofing sheet's color has an impact more on cooling performance than the color of the background side of a structure on which water proofing sheet is installed. The experiment object of gray, of which background side is similar to cement mortar, was lower by $5.7^{\circ}C$ than the white background side.

Coding of Remotely Sensed Satellite Image with Edge Region Compensation (에지 영역을 보상한 원격 센싱된 인공위성 화상의 부호화)

  • Kim, Young-Choon;Lee, Kuhn-Il
    • Journal of Sensor Science and Technology
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    • v.6 no.5
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    • pp.376-384
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    • 1997
  • In this paper, we propose a coding method of remotely sensed satellite image with edge region compensation. This method classifies each pixel vector considering spectral reflection characteristics of satellite image data. For each class, we perform classified intraband VQ and classified interband prediction to remove intraband and interband redundancies, respectively. In edge region case, edge region is compensated using class information of neighboring blocks and gray value of quantized reference bands. Then we perform classified interband prediction using compensated class information to remove interband redundancy, effectively. Experiments on LANDSAT-TM satellite images show that coding efficiency of the proposed method is better than that of the conventional methods.

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