• Title/Summary/Keyword: Brightness value

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The Character Variation of Wood-Pulp treated Three Enzyme ; Endo-xylanase, Exo-xylanase and Acetyl-esterase (Endo-xylanase, Exo-xylanase 몇 Acetyl-esterase 효소 처리한 펄프의 특성 변화)

  • Kim, Byong-Hyun
    • Journal of the Korean Graphic Arts Communication Society
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    • v.26 no.1
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    • pp.17-28
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    • 2008
  • The wood-pulp is treated with the three enzymes; Endo-xylanase, exo-xylanase and acetyl-esterase. The maximum value of relative activity appeared 0.95 in acetyl-esterase at $40^{\circ}C$, 0.9 in exo-xylanase at $40^{\circ}C$, and 0.8 in endo-xylanase at $50^{\circ}C$, respectively. And it has measured 0.8 in endo-xylanase, 0.95 in acetyl-esterase at pH 6 and 0.9 in exo-xylanase at pH 5, while the maximum value of relative activity does not rely on reaction time for three enzymes treatment, and the value was about 0.9, respectively. We have watched that decreased Kappa number and increased brightness. And it turned out that the three enzyme produced a lot of reducing sugar with wood-pulp treatment.

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An Adaptive Image Quality Assessment Algorithm

  • Sankar, Ravi;Ivkovic, Goran
    • International journal of advanced smart convergence
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    • v.1 no.1
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    • pp.6-13
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    • 2012
  • An improved algorithm for image quality assessment is presented. First a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image. This way the algorithm can adapt to different scenarios. In the next step the average value of locally computed correlation coefficients between the two processed images is found. This criterion is closely related to the way in which human observer assesses image quality. Finally, image quality measure is computed as the average value of locally computed correlation coefficients, adjusted by the average correlation coefficient between the reference and error images. By this approach the proposed measure differentiates between the random and signal dependant distortions, which have different effects on human observer. Performance of the proposed quality measure is illustrated by examples involving images with different types of degradation.

The Sensory Characteristics of Brown Sauce by Adding Different Ratios of Jubak (주박을 첨가한 브라운 소스의 관능적 특성)

  • Lee, Jong-Pil
    • Culinary science and hospitality research
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    • v.14 no.1
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    • pp.152-160
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    • 2008
  • The purpose of this study was to investigate the sensory characteristics of brown sauce made with different ratios of Jubak. In the brown sauce made from Jubak, the followings showed changes according to the amount of Jubak. The content of crude lipid increased, that of crude protein and moisture decreased, and that of crude ash and reduced sugar increased. Brown sauce made from Jubak contained more reduced sugar than general brown sauce, and the content of reduced sugar increased. pH increased from initial pH 4.32 to 5.42 respectively, and viscosity increased. The "L" value expressing brightness of samples had a tendency to increase with Jubak added. "a" value had a tendency to increase in case of no Jubak added, and "b" value had a tendency to decrease according to the amount of Jubak. In the sensory evaluation, color and flavor decreased and viscosity increased with the amount of Jubak. Overall, it was the highest in 0% Jubak. From the above results, an addition of 25% Jubak to brown sauce is recommended for commercial use.

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A Study on the Fingerprint Recognition Preprocessing using adaptive binary method (적응 이진화를 이용한 지문인식 전처리에 관한 연구)

  • Cho, Seong-Wong;Kim, Jae-Min
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.3
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    • pp.227-230
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    • 2002
  • An important preprocessing for fingerprint recognition is the binarization operation, which takes as an input gray-scale image and returns a binary image as the output. The difficult in performing binarization is to find an appropriate threshold value. This paper presents a new adaptive binarization method, which determines the threshold value according to the brightness of local ridges and valleys. We experimentally show that the presented method results in better performance than a traditional method.

Moisture Sorption Isotherm and Quality Deterioration of Dry Jujube (건대추의 등온흡습곡선 및 품질열화특성)

  • 김영숙;안덕순
    • Food Science and Preservation
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    • v.4 no.1
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    • pp.33-38
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    • 1997
  • In order to provide informations for designing packaging and storage condition of dry jujube (Zizyphus jujuba MILLER), moisture sorption isotherm was determined for temperatures of 20, 30 and 4$0^{\circ}C$, and quality changes were evaluated as function of temperature and water activity. Dry jujube at a given water activity showed higher equilibrium moisture content for lower temperature. Moisture isothem could be fitted by GAB model equation, giving higher C value, lower m0 and relatively constant k value with increase in temperature. Ascorbic acid was lost more highly at higher temperature and water activity, and showed negligible retention for whole range of water activity and temperature studied after 141 days. Browning increased with water activity up to 0.73 at 30 and 4$0^{\circ}C$. Dry jujube of high water activity had high L value in surface color, which represent brightness of surface color. Considering quality retention in the storage, dry jujube is desired to be dried to water activity of 0.42 and be stored at temperature below 3$0^{\circ}C$

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Quality Characteristics of Noodles with Added Chickpea (Cicer ArietinumL.) Power (병아리콩 분말을 첨가한 국수의 품질 특성)

  • Youn Ri Lee
    • The Korean Journal of Food And Nutrition
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    • v.36 no.4
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    • pp.321-326
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    • 2023
  • Noodles were manufactured using chickpea powder to evaluate quality characteristics. Compared to noodles made of wheat flour, noodles made with chickpea powder showed higher contents of protein, lipids, ash, and dietary fiber. Among noodle cooking characteristics, weight, moisture absorption rates, volume, and turbidity decreased significantly as the added amount of chickpea powder increased. Comparisons made of the color of noodles with raw noodles after cooking showed that the brightness (L value) of raw noodles tended to decrease as more chickpea powder was added after cooking, and levels of red (a value) and levels of yellow (b value) tended to increase as more chickpea powder was added after cooking. The texture of noodles with added chickpea powder tended to increase as more chickpea powder was added, such as hardness, springiness, gumminess, cohesiveness, and chewiness.

Skin Region Detection Using Histogram Approximation Based Mean Shift Algorithm (Mean Shift 알고리즘 기반의 히스토그램 근사화를 이용한 피부 영역 검출)

  • Byun, Ki-Won;Joo, Jae-Heum;Nam, Ki-Gon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.4
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    • pp.21-29
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    • 2011
  • At existing skin detection methods using skin color information defined based on the prior knowldege, threshold value to be used at the stage of dividing the backround and the skin region was decided on a subjective point of view through experiments. Also, threshold value was selected in a passive manner according to their background and illumination environments in these existing methods. These existing methods displayed a drawback in that their performance was fully influenced by the threshold value estimated through repetitive experiments. To overcome the drawback of existing methods, this paper propose a skin region detection method using a histogram approximation based on the mean shift algorithm. The proposed method is to divide the background region and the skin region by using the mean shift method at the histogram of the skin-map of the input image generated by the comparison of the similarity with the standard skin color at the CbCr color space and actively finding the maximum value converged by brightness level. Since the histogram has a form of discontinuous function accumulated according to the brightness value of the pixel, it gets approximated as a Gaussian Mixture Model (GMM) using the Bezier Curve method. Thus, the proposed method detects the skin region by using the mean shift method and actively finding the maximum value which eventually becomes the dividing point, not by using the manually selected threshold value unlike other existing methods. This method detects the skin region high performance effectively through experiments.

Image Processing of the Photo CD Image to use in the Lithographic Offset Printing (평판 오프셋 인쇄에 이용하기위한 Photo CD 이미지의 화상처리)

  • 안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.14 no.1
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    • pp.31-45
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    • 1996
  • For the purpose of study on the printability of domestic art papers, the physical properties of domestic coated paper for offset printing were investigated. 25 kinds of sample papers were prepared and were examined in accordance with KS and TAPPI standard testing method i.e., basis weight, density, opacity, gloss, roughness, smoothness, brightness, and K&N absorption. IGT printability tester was used to obtain the printability parameters, such as maximum ink requirement of paper Y, limiting printing density D print through, and density smoothness constant m value.

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Development of KrF Excimer Laser with surface discharge preionization (표면예비전리 방식을 사용한 KrF 엑사이머 레이저의 개발)

  • Park, Hong-Jin;Lee, Choo-Hie
    • Proceedings of the KIEE Conference
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    • 1990.07a
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    • pp.462-464
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    • 1990
  • We report the development of a surface discharge preionized KrF discharge Laser with a new type of high-brightness Corona preionizer using a segmented columnar $BaTiO_3$ dielectric. This Laser characteristic was higher value than that obtained with the conventional corona preionizer using a glass, $Al_2O_3ceramic$, Kapton film, or a Teflon insulator.

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Image Segmentation and Labeling Using Clustering and Fuzzy Algorithm (Clustering 기법과 Fuzzy 기법을 이용한 영상 분할과 라벨링)

  • 이성규;김동기;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.241-241
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    • 2000
  • In this Paper, we present a new efficient algorithm that can segment an object in the image. There are many algorithms for segmentation and many studies for criteria or threshold value. But, if the environment or brightness is changed, their would not be suitable. Accordingly, we apply a clustering algorithm for adopting and compensating environmental factors. And applying labeling method, we try arranging segment by the similarity that calculated with the fuzzy algorithm. we also present simulations for searching an object and show that the algorithm is somewhat more efficient than the other algorithm.

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