• Title/Summary/Keyword: color intensity

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A Color Image Segmentation Algorithm based on Region Merging using Hue Differences (색상 차를 이용하는 영역 병합에 기반한 칼라영상 분할 알고리즘)

  • 박영식
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.1
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    • pp.63-71
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    • 2003
  • This paper describes a color image segmentation algorithm based on region merging using hue difference as a restrictive condition. The proposed algorithm using mathematical morphology and a modified watershed algorithm does over-segmentation in the RGB space to preserve contour information of regions. Then, the segmentation result of color image is acquired by repeated region merging using hue differences as a restrictive condition. This stems from human visual system based on hue, saturation, and intensity. Hue difference between two regions is used as a restrictive condition for region merging because it becomes more important factor than color difference if intensity is not low. Simulation results show that the proposed color image segmentation algorithm provides efficient segmentation results with the predefined number of regions for various color images.

Effects of Caffeic Acid on the Rates of Maillard Reaction (마이얄반응속도에 미치는 카페인산의 영향)

  • Son, Jong-Youn;Ahn, Myung-Soo
    • Korean journal of food and cookery science
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    • v.10 no.2
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    • pp.161-165
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    • 1994
  • It was aimed to investigate the effects of caffeic acid on the rates of Maillard reaction. The rates of browning reaction increased as the browning temperature increased. The color intensity of the browning mixtures indicated to depend on the amino acid rather than reducing sugar. Also, the color intensity of the browning mixtures increased more rapidly in the presence of caffeic acid. The increase in color intensity seemed to depend mainly to the polymerization of o-quinones formed from caffeic acid. The caffeic acid, furthermore, appeared to enhance the color intensity of the browning mixtures through the interaction with amino acid, especially methionine and phenylalanine. The activation ener-gies of the browning reaction without caffeic acid were 108∼130 J/mol, and Q10 values were 2.6∼3.2. The activation energies and Q10 values of browning mixtures decreased in the presence of CA. The activation energies of the browning mixtures with caffeic acid were 90∼101J/mol, and Q$\_$10/ values were 2.0∼2.6.

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Evaluation of Baby-leaf Growth and Leaf Red Color Intensity for Amaranthus Germplasm (아마란스(Amaranthus ssp.) 유전자원의 어린잎 생육과 엽 적색도 평가)

  • Lee, Jun-Gu;Jang, Yoon-Ah;Um, Yeong-Cheol;Lee, Sang-Gyu
    • Journal of agriculture & life science
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    • v.46 no.6
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    • pp.59-65
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    • 2012
  • This study evaluated the baby-leaf growth, leaf red color intensity, and phytochemical compounds, such as total phenols and total flavonoids using domestic Amaranthus accessions, to select promising germplasm for the use of baby-leaf vegetable. The 39 accessions, upper 15% of 262 Amaranthus germplasm collection showing high red color intensity in baby-leaf, measured as Hunter's a value, were primarily selected. The eleven accessions including IT199970, showing stable red color intensity in baby-leaf both in high-temperature and low temperature cultivation, were finally selected as promising germplasm for the use of baby-leaf vegetable Amaranthus. The leaf red color intensities when they were cultivated at low temperature period were generally higher than those at low temperature period, and all the eleven selected germplasm, including four Amaranthus sub-species and five unknown species, showed stable red color expression in baby-leaf. The total phenol and total flavonoid contents were also presented for finally selected germplasm including their baby-leaf fresh weights. These finally selected germplasm could be potentially used as baby-leaf vegetable resources, through fortifying the color balance of salad vegetable.

Correlation between Antioxidant Capacities and Color Values in Korean Red Grape Juices (국내 적포도주스의 항산화능과 색도의 상관성)

  • Kim, Joo-Young;Seong, Gi-Un;Hwang, In-Wook;Chung, Shin-Kyo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.8
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    • pp.1206-1211
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    • 2015
  • Grape juice is consumed worldwide and studied due to the high antioxidant activities and contents. The color of grape juice is due to the presence of phenolic compounds such as anthocyanins. Therefore, color values can be an indicator of antioxidant capacities of grape juice. However, the correlation between color values and antioxidant activities in grape juice has not been well studied. In this study, the physicochemical characteristics and correlation between color values and antioxidant capacities of Korean red grape juices (five commercial juices from market and two juices prepared in the laboratory) were investigated to estimate antioxidant capacities. Antioxidant capacities were determined by 1,1-diphenlyl-2-picrylhydrazyl radical scavenging assay, ferric ion reducing antioxidant power assay, and oxygen radical absorbance capacity assay. Total phenolic contents, total flavonoid contents, and total anthocyanin contents, including five kinds of polyphenolic compounds, were examined by high performance liquid chromatography (HPLC). The results for physicochemical properties showed similar values, except titratable acidity. The color hue values of the prepared juices were higher than those of commercial juices, which was in contrast to the lower color intensity values (P<0.05). The Hunter L, a, and b values showed almost no difference between commercial and prepared juices. The antioxidant activities and total phenolic contents of commercial juices were higher than those of prepared ones. Gallic acid, catechin, and quercetin were confirmed by HPLC in all samples. The total phenolic and total flavonoid contents showed positive correlation with antioxidant activities. In addition, antioxidant activities and contents correlated with color values. Thus, estimation of antioxidant capacity could be feasible through the spectrophotometric measurement of color values.

An Effect of Magnetic Field on VDT Work (VDT 작업시 자기장이 인체에 미치는 영향에 관한 연구)

  • 박재희;김철중;이남식;김진호
    • Proceedings of the ESK Conference
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    • 1992.10a
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    • pp.77-83
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    • 1992
  • The effect of magnetic field on VDT work has not been clarified yet, but many studies repoerted that magnetic field could cause of the cancers. Many developed countries have set the criteria of magnetic field and produce the VDT which has lower magnetic value. The purpose of this study was to measure the intensity of magnectic field from VDT. For this purpose three experiments were performed. The first was designed to measure the intensity of magnetic field by distances(30,60,90 cm) and directions. The second was to compare the intensities between VDT and Color TV. The last was to evaluate the eye protec- tion glasses. The reults showed that the intensity of magnetic field was lowered in proportion to the distance $r^{3}$and both lateral sides of the VDT marked high values compared to the frontal and back sides. On the same distance (30 cm) color TV marked high value to the VDT. But on the normal work distance (TV: 100 cm, VDT: 30 cm) there was little difference, Eye protection glasses could not protect the magnetic field physically.

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Face Region Detection Algorithm using Fuzzy Inference (퍼지추론을 이용한 얼굴영역 검출 알고리즘)

  • Jung, Haing-Sup;Lee, Joo-Shin
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.773-780
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    • 2009
  • This study proposed a face region detection algorithm using fuzzy inference of pixel hue and intensity. The proposed algorithm is composed of light compensate and face detection. The light compensation process performs calibration for the change of light. The face detection process evaluates similarity by generating membership functions using as feature parameters hue and intensity calculated from 20 skin color models. From the extracted face region candidate, the eyes were detected with element C of color model CMY, and the mouth was detected with element Q of color model YIQ, the face region was detected based on the knowledge of an ordinary face. The result of experiment are conducted with frontal face color images of face as input images, the method detected the face region regardless of the position and size of face images.

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A Basic Study on the Pitch-based Sound into Color Image Conversion (피치 기반 사운드-컬러이미지 변환에 관한 기초연구)

  • Kang, Kun-Woo;Kim, Sung-Ill
    • Science of Emotion and Sensibility
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    • v.15 no.2
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    • pp.231-238
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    • 2012
  • This study aims for building an application system of converting sound into color image based on synesthetic perception. As the major features of input sound, both scale and octave elements extracted from F0(fundamental frequency) were converted into both hue and intensity elements of HSI color model, respectively. In this paper, we used the fixed saturation value as 0.5. On the basis of color model conversion theory, the HSI color model was then converted into the RGB model, so that a color image of the BMP format was finally created. In experiments, the basic system was implemented on both software and hardware(TMS320C6713 DSP) platforms based on the proposed sound-color image conversion method. The results revealed that diverse color images with different hues and intensities were created depending on scales and octaves extracted from the F0 of input sound signals. The outputs on the hardware platform were also identical to those on the software platform.

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A New Illumination Compensation Method based on Color Optimization Function for Generating 3D Volumetric Model (3차원 체적 모델의 생성을 위한 색상 최적화 함수 기반의 조명 보상 기법)

  • Park, Byung-Seo;Kim, Kyung-Jin;Kim, Dong-Wook;Seo, Young-Ho
    • Journal of Broadcast Engineering
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    • v.25 no.4
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    • pp.598-608
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    • 2020
  • In this paper, we propose a color correction technique for images acquired through a multi-view camera system for acquiring a 3D model. It is assumed that the 3D volume is captured indoors, and the position and intensity of the light is constant over time. 8 multi-view cameras are used, and converging toward the center of the space, so even if the lighting is constant, the intensity and angle of light entering each camera may be different. Therefore, a color optimization function is applied to a color correction chart taken from all cameras, and a color conversion matrix defining a relationship between the obtained 8 images is calculated. Using this, the images of all cameras are corrected based on the standard color correction chart. This paper proposed a color correction method to minimize the color difference between cameras when acquiring an image using 8 cameras of 3D objects, and experimentally proved that the color difference between images is reduced when it is restored to a 3D image.

A Robust Color Clustering using a Smooth Color Model under Irregular Brightness Variations (Smooth Color Model을 이용한, 불규칙한 조명 변화에 강인한 Color Clustering)

  • Kim, Chi-Ho;You, Bum-Jae;Kim, Hag-Bae;Oh, Sang-Rok
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2534-2536
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    • 2003
  • Color는 다른 물체로부터 하나의 물체를 특정짓기 위한 효과적이고 강인한 실마리이므로 color clustering이 많은 주목을 받고 있다. 그러나 불규칙한 조명변화에 의한 color 변이 때문에 color segmentation은 매우 어렵다. 이 논문은 B-spline 곡선을 이용한, HSI color space에서의 intensity 정보를 포함한 신뢰할 수 있는 color modeling 방법을 제안한다. 이것은 비록 HS 평균임에도 불구하고 단색 물체의 color 분포가 조명이 변함에따라 변한다는 사실에 기반한다. 이 접근법을 사용하면 피부색을 가진 영역의 color clustering이 불규칙한 조명변화에 적응될 수 있다.

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The Walkers Tracking Algorithm using Color Informations on Multi-Video Camera (다중 비디오카메라에서 색 정보를 이용한 보행자 추적)

  • 신창훈;이주신
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.5
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    • pp.1080-1088
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    • 2004
  • In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera against variance of intensity, shape and background is proposed. Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are segmented to 24 levels from $0^{\circ}$ to $360^{\circ}$. It is used to the feature parameter of the moving objects that are three segmented hue levels with the highest distribution and difference among three segmented hue levels. To examine propriety of the proposed method, human images with variance of intensity and shape and human images with variance of intensity, shape and background are targeted for moving objects. As surveillance results of the interesting human, hue distribution level variation of the detected interesting human at each camera is under 2 level, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at cameras, automatically.