• Title/Summary/Keyword: Difference of texture

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Sensory and Mechanical Characteristics of the Lemon Red Ginseng-pyun prepared by different ratio of red ginseng (레몬홍삼과편의 홍삼 배합비에 따른 관능적.텍스쳐 특성)

  • Kim Eun-Mi
    • Korean journal of food and cookery science
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    • v.22 no.2 s.92
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    • pp.105-110
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    • 2006
  • This study was performed to determine the sensory evaluation and mechanical characteristics of lemon red ginseng-pyun. Lemon red ginseng-pyun was made with lemon juice(21.4%), sweet potato starch(6.7%), water(53.3%), sugar(13.3%), honey(5.3%) and various concentrations of red ginseng powder(0, 2, 4, 6, 8, 10%). The quality characteristics of the sample were estimated in terms of pH, color difference, texture profile analysis and sensory evaluation. The pH of lemon red ginseng-pyun showed no significant difference among the different ratios of red ginseng. With increasing red ginseng powder addition, the lightness was significantly(p<0.05) lower, and a value and b values were significantly(p<0.05) higher. In sensory evaluation, with increasing red ginseng powder addition, the color and bitter taste of lemon red ginseng-pyun were stronger, while clarity of the 10% added red ginseng was significantly(p<0.05) lower than that of the 0% added red ginseng. Elasticity, hardness, chewiness, softness. sweet taste and overall acceptability were not significantly different in any group. In texture profile analysis, chewiness, cohesiveness, gumminess and hardness were significantly(p<0.05) increased in the 10% added red ginseng but springiness was not significantly different in any group. Overall acceptability was related to texture, appearance, overall taste and sweet taste of lemon red ginseng-pyun. Therefore, development of lemon red ginseng-pyun with no sugar or artificial sweeteners is encouraged as a healthy diet for diabetes and hypertension patients, because red ginseng is defined as a functional foods.

A Performance Improvement of GLCM Based on Nonuniform Quantization Method (비균일 양자화 기법에 기반을 둔 GLCM의 성능개선)

  • Cho, Yong-Hyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.133-138
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    • 2015
  • This paper presents a performance improvement of gray level co-occurrence matrix(GLCM) based on the nonuniform quantization, which is generally used to analyze the texture of images. The nonuniform quantization is given by Lloyd algorithm of recursive technique by minimizing the mean square error. The nonlinear intensity levels by performing nonuniformly the quantization of image have been used to decrease the dimension of GLCM, that is applied to reduce the computation loads as a results of generating the GLCM and calculating the texture parameters by using GLCM. The proposed method has been applied to 30 images of $120{\times}120$ pixels with 256-gray level for analyzing the texture by calculating the 6 parameters, such as angular second moment, contrast, variance, entropy, correlation, inverse difference moment. The experimental results show that the proposed method has a superior computation time and memory to the conventional 256-level GLCM method without performing the quantization. Especially, 16-gray level by using the nonuniform quantization has the superior performance for analyzing textures to another levels of 48, 32, 12, and 8 levels.

Texture and Storage Stability of Tofu Incorporated with Rhynchosia volubilis

  • Lee, Jun-Ho;Ahn, Mi-Jung
    • Preventive Nutrition and Food Science
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    • v.14 no.1
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    • pp.71-75
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    • 2009
  • The effects of Rhynchosia volubilis (yakong) incorporation (0%, 10%, 20%, and 30%, w/w of soybeans) on quality and shelf life of tofu were investigated. Moisture content of tofu increased slightly with the increase in the level of yakong incorporation from 10% to 30% and no apparent relationships between yakong incorporation and the yield were found. Turbidity of soybean whey tended to increase with increased level of yakong incorporation where the values of 20% and 30% samples were significantly different from those of control and 10% sample (p<0.05). The different levels of yakong incorporation were found to have significant influence (p<0.05) on all the color characteristics of tofu. Tofu texture varied with the level of yakong incorporation in consistent pattern; however, there was no significant difference (p>0.05) in most cases. Tofu incorporated with yakong ($10{\sim}30%$) had a shelf life of above at least 1 day longer than that of the control tofu.

Tactile Transceiver for Fingertip Motion Recognition and Texture Generation (손끝 움직임 인식과 질감 표현이 가능한 촉각정보 입출력장치)

  • Youn, Sechan;Cho, Young-Ho
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.6
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    • pp.545-550
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    • 2013
  • We present a tactile information transceiver using a friction-tunable slider-pad. While previous tactile information devices were focused on either input or output functions, the present device offers lateral position/vertical direction detection and texture expression. In characterizing the tactile input performance, we measured the capacitance change due to the displacement of the slider-pad. The measured difference for a z-axis click was 0.146 nF/$40{\mu}m$ when the x-y axis navigation showed 0.09 nF/$750{\mu}m$ difference. In characterizing the texture expression, we measured the lateral force due to a normal load. We applied a voltage between parallel electrodes to induce electrostatic attraction in DC and AC voltages. We measured the friction under identical fingertip action conditions, and obtained friction in the range of 32-152 mN and lateral vibration in the force range of 128.1 mN at 60 V, 2 Hz. The proposed device can be applied to integrated tactile interface devices for mobile appliances.

Effects of Soybean Varieties on the Physicochemical and Sensory Characteristics of Tofu (대두 품종별 두부의 이화학적, 관능적 특성)

  • Yoo, Kyung-Mi
    • The Korean Journal of Food And Nutrition
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    • v.24 no.3
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    • pp.451-457
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    • 2011
  • The purpose of this study was to evaluate the effects of soybean varieties on the physicochemical and sensory characteristics tofu. Five varieties of soybeans(Daewon, Jinpoung, Hwanggum, Jinmi, and Manni) were selected for these experiments. Proximate composition and total phenolic acids in the soybeans, and the moisture, turbidity, lightness, yield rate, texture characteristics, and sensory characteristics of the tofu were measured. The Hwanggum soybeans had the highest levels of crude lipid and crude ash. There was a significant difference in the moisture and yield rate of the tofu(p<0.05). The crude protein and crude lipid contents of the soybeans affected the hardness and springiness of the tofu. In sensory evaluations, significant differences(p<0.05) were shown in taste, texture, and overall acceptability depending on the tofu by soybean variety. Therefore, one should consider soybean varieties when manufacturing tofu.

Quality Characteristics of Seolgidduk added with Poria cocos Wolf Powder during Storage (백복령 가루 첨가량과 저장기간에 따른 설기떡의 품질 특성)

  • 장윤희
    • Journal of the East Asian Society of Dietary Life
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    • v.13 no.4
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    • pp.318-325
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    • 2003
  • The purpose of this study was to investigate quality characteristics of Seolgidduk containing 0, 3, 5, 7 and 9% Poria cocos Wolf powder during the storage at 2$0^{\circ}C$ by measuring water content, color value, texture and sensory characteristics. By increasing the amount of Poria cocos Wolf powder, water content of Seolgidduk did not show any significant difference during storage. Hunter color L value of Seolgidduk decreased, and a and b value increased significantly by increasing the amount of Poria cocos Wolf powder. The cohesiveness of Seolgidduk decreased but adhesiveness, gumminess and chewiness were not significantly different by increasing the amount of Poria cocos Wolf powder. 3% Poria cocos Wolf added Seolgidduk was the highest in color, odor, taste, softness, moistness and overall preference from the sensory evaluation. Above results indicated that 3% Poria cocos Wolf added Seolgidduk showed the best quality through sensory and texture analysis.

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Texture Analysis for Classifying Normal Tissue, Benign and Malignant Tumors from Breast Ultrasound Image

  • Eom, Sang-Hee;Ye, Soo-Young
    • Journal of information and communication convergence engineering
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    • v.20 no.1
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    • pp.58-64
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    • 2022
  • Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

Variable Block Size Transform Coding Using Segmented Information (영역 분할 정보를 이용한 가변 블록 크기 변환 부호화)

  • 오정수;김진태;최종수
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.1
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    • pp.72-80
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    • 1994
  • In this paper, a new variable block-size transform coding algorithm using information of segmentation is proposed. In general variable block-size transform coding algorithms, the information which is used to form variable blocks is thrown away, but in the proposed algorithm, the information of segmentation which is composed of texture and contour information is maintained for efficient coding. That is, the number of blocks can be reduced by contour information, a DC component of block can be predicted by texture information, and the region compensation, which reduces mean difference between regions, using texture and contour information can diminish the magnitude of AC components. The result is that the proposed algorithm has improved highly the coding efficiency of DC and AC components.

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Stereoscopic Video Coding Using MPEG-4 Multiple Auxiliary Component (MPEG-4 MAC(Multiple Auxiliary Component) 기반 스테레오스코픽 비디오 부호화)

  • 조숙희;윤국진;안충현
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.167-170
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    • 2003
  • We propose stereoscopic video coding method using the syntax of MAC(Multiple auxiliary component) that was added to the MPEC-4 visual version 2 in order to describe the transparency of the video object. We also define the novel MAC's semantics in MPEG-4 that should support the proposed coding method. The major difference between the existing coding method and the proposed coding method is the addition of the residual texture coding. The proposed coding method assigns disparity map and residual texture to 3 components of MAC: one component for disparity map and the rest 2 components fer the luminance and chrominance data of the residual texture, respectively. The performance of the proposed method is evaluated in terms of PSNR by computer simulations.

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A Study of the relationship between Fashion Sensibility and Formative Properties in Clothing (패션감성과 의복조형성의 관계 연구)

  • 이경희;김유진
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.5
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    • pp.845-855
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    • 2001
  • Now the most important thing in fashion industry is find out the fashion sensibility and preference of customers exactly. Thus it is needed that fashion sensibility is connected with formative properties in clothing. The purpose of this study is to clarify the relationship between the fashion sensibility and the formative properties in clothing. 91 kinds of costume samples have been selected from photographs in fashion magazines under color combination, inside form, texture, pattern type in clothing. I have measured fashion sensibility by using Semantic Differential method. The obtained data were analyzed by GLM, discriminant analysis. The results of analysis are as follow; 1. The discriminative images were significant difference in formative properties - color combination was related to attractiveness, inner form to decorativeness, pattern to harmony and texture to surface of soft and hard in clothing. 2. fashion sensibility was significant relationship with formative properties especially inner form in clothing. And the trimming was identified as gorgeous and feminine. 3. Preference, Buying needs, Riches and Pleasant were significant relationship with formative properties in clothing especially color combination and texture.

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