• 제목/요약/키워드: Texture characteristics

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웨이브릿 기반 텍스처 융합 영상을 이용한 위성영상 자료의 분류 정확도 향상 연구 (The Classification Accuracy Improvement of Satellite Imagery Using Wavelet Based Texture Fusion Image)

  • 황화정;이기원;권병두;류희영
    • 대한원격탐사학회지
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    • 제23권2호
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    • pp.103-111
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    • 2007
  • 지금까지 위성영상 정보 처리 분야에서는 분광정보를 이용한 영상분석과 시각적 해석 및 자동 분류에 대한 연구가 주로 수행되었으나, 최근에는 영상자료에서 시각적으로 나타나지 않는 특성이나 공간정보의 추출을 위한 여러 시도가 이루어지고 있다. 본 연구에서는 영상정보의 특성 추출기법인 텍스처 영상 생성기법과 웨이브릿 변환을 연계하여 웨이브릿 기반 텍스처 융합 영상에 대한 연구를 수행하였다. 또한 이러한 영상이 분류 정확도에 어떻게 기여하는 가를 분석하기 위한 적용 사례로 도심지 공간분석과 칼데라 주변지역의 지질학적 구조분석을 수행하였다 영상 분석 시 공간정보 활용을 위한 텍스처 영상 생성기법과 웨이브릿 기반 텍스처 융합 영상 생성기법을 사용하면 원본영상만을 사용하였을 때보다 높은 분류정확도를 보였다. 고해상도 영상을 사용한 도심지의 경우 원본영상에 텍스처영상과 웨이브릿 기반 텍스처 융합 영상을 모두 활용한 경우의 분류정확도가 가장 높은 값을 보였다. 이는 상세화소의 변화가 매우 중요한 도심지의 특성상, 세밀한 공간정보가 최대로 활용되었기 때문으로 해석되어진다. 또한 중 저해상도 영상을 사용한 지질학적 구조분석의 경우 원본영상에 텍스처 영상만을 활용한 경우가 가장 높은 분류정확도를 보였다. 이는 칼데라를 중심으로 한 비교적 크기가 큰 지질학적 구조 분석 시 고도변화와 지열분포 등의 정보가 적당히 단순화 될 필요가 있었기 때문인 것으로 해석된다. 따라서 이러한 기법들을 실제 연구에 적용하기 위해서는 연구의 목적과 위성영상의 해상도 등의 정보를 모두 고려하여 적절한 기법을 잘 적용하는 것이 중요하다.

청국장 분말을 첨가한 어묵의 품질 특성 (Study on Quality Characteristics of Fish Paste Containing Cheonggukjang Powder)

  • 박복희;조희숙;박승희
    • 한국식생활문화학회지
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    • 제30권2호
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    • pp.213-219
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    • 2015
  • This study was conducted to promote the utilization of fish paste containing four different amounts (0%: control, 2, 4, and 6%) of cheonggukjang powder. For Hunter color values, L values of samples decreased as concentration of cheonggukjang powder increased, and a and b values increased. Folding tests for all samples showed good flexibility. In the texture meter test, hardness, cohesiveness, and springiness increased according to increasing concentrations of cheonggukjang powder. However, gumminess and brittleness of fish paste were reduced upon addition of cheonggukjang powder. In the sensory evaluation, fish paste prepared with 2% cheonggukjang powder was more preferred over other fish pastes. This study suggests that addition of 2% cheonggukjang powder to fish paste could be a good way to increase cheonggukjang powder without decreasing texture acceptability.

포도씨추출분말을 첨가한 기능성 머핀의 품질 특성에 관한 연구 (Studies on the Quality Characteristics of Functional Muffin Prepared with Different Levels of Grape Seed Extract)

  • 주신윤;최민희;정해정
    • 한국식생활문화학회지
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    • 제19권3호
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    • pp.267-272
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    • 2004
  • This study was conducted to develop functional muffin in which grape seed extract(GSE) was added at 0, 0.5, 1 or 2% levels and to evaluate the quality characteristics. The volume of muffin decreased with the increasing GSE content, but no significant differences were observed. The weight and height of muffins increased with the increasing GSE content. The incorporation of GSE in the product lowered lightness (L value) and increased redness(a value). The mechanical texture parameters including hardness, springiness, gumminess and brittleness increased with the increasing GSE levels. Sensory analysis showed that muffin prepared with 0.5% GSE was considered to be as acceptable as control, based on hedonic scale ratings given by untrained taste panel.

홍삼 분말을 첨가한 식빵의 품질특성 (Quality Characteristics of White pan bread with Led Ginseng powder)

  • 송승헌;신길만
    • 한국식생활문화학회지
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    • 제31권3호
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    • pp.220-225
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    • 2016
  • This study investigated properties of bread utilizing extracts of ginseng powder. Ginseng powder bread was baked. Addition of 1~3% of ginseng powder extract to wheat flour was carried out. Rheological properties, dough pH, dough volume, bread volume, water absorption capacity, baking loss, bread color, bread texture, and sensory evaluation were tested to examine properties of bread baked with extracts of ginseng powder. The results are as follows. The dough pH decreased gradually with increasing ginseng powder extract concentration. The bread volume, baking loss, and bread weight increased with increasing use of ginseng powder extract, and springiness and cohesiveness increased as red ginseng powder additive concentration increased. Lightness of the L decreased while a and b increased. In the sensory evaluation, ginseng powder with 1% ginseng powder extract was evaluated as the best for taste, texture, flavor, and overall acceptability.

구운 검은콩 분말을 첨가한 스펀지 케이크의 품질 특성 (Quality Characteristics of Sponge Cake with Added Baked Black Soybean Powder)

  • 정현철
    • 동아시아식생활학회지
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    • 제22권3호
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    • pp.401-407
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    • 2012
  • Baked black soybean has great nutritional value, so it is a great potential ingredient in cake. To find an acceptable ingredient ratio, baked black soybean powder was to wheat flour in different experimental groups. The control was pure wheat flour, and the experimental groups had 0 (control), 10%, 20%, 30%, and 40% baked black soybean powder added. The baked black soybean powder consists of moisture (4.88%), crude protein (34.46%), crude fat (11.35%), crude ash (4.84%), and carbohydrates (44.47%). The specific gravity, spreadability, and baking loss increased with an increase in the amount of baked black soybean powder, but specific volume decreased. The 'L' and 'b' chromaticity values of a sponge cake decrease with increased amounts of added baked black soybean powder. The texture becomes more hard and stuff with added baked black soybean powder, but springiness decreases. A sensory test found the best experimental group to be that of 20% powder added.

시각적 특성에 기반한 적응적 워터마킹 알고리즘 (Human Vision System based Adaptive Watermarking Algorithm)

  • 전영민;고일주;김계영
    • 전자공학회논문지CI
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    • 제41권6호
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    • pp.101-109
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    • 2004
  • 본 논문에서는 인간의 시각적 특성에 기반한 적응적 워터마킹 알고리즘을 제안한다. 워터마크를 삽입할 대상에 대한 시각적 특성 분석을 위해 영상의 휘도, 대비, 텍스쳐 등의 특징을 사용하였다. 제안하는 방법은 인간의 시각적 특성에 따라 워터마크의 삽입 블록과 삽입될 워터마크의 위치와 강도를 적응적으로 결정한다. 실험은 절단, 영상강화, 저주파 필터링, JPEG 압축의 영상처리 공격에 대한 워터마크 검출율을 비교하였다.

미세가공면의 상태 감시를 위한 다중신호특성에 관한 연구 (Multi-signal characteristics for condition monitoring of micro machined surface)

  • 장수훈;박진효;강익수;김정석
    • 한국기계가공학회지
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    • 제8권1호
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    • pp.31-36
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    • 2009
  • Micro-machining technology has been adopted for shape accuracy of micrometer and sub-micrometer scale, surface roughness of tens nanometer in industries. In micro-machining process the quality of machined surface is derived from machining condition and tooling. This paper investigates AE(acoustic emission) and cutting force signals according to machined surface quality related to machining condition. Machined surface quality was analyzed by the AE and cutting force parameter which reflect surface morphology. The characteristics of signal were extracted for process optimization by monitoring both the tool condition and the machined surface texture in micro end milling process.

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파래 첨가 쿠키의 품질 특성 연구 (Quality Characteristics of Cookies with Added Enteromorpha intenstinalis)

  • 임은정
    • 한국식품영양학회지
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    • 제21권3호
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    • pp.300-305
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    • 2008
  • This study evaluated the physicochemical and sensory characteristics of cookies containing various concentrations(0, 3, 5, 7 and 9%) of Enteromorpha intenstinalis powder. Cookies containing E. intenstinalis powder were significantly lower in L value than of the control. The L value of brightness decreased significantly when E. intenstinalis powder was added to the cookie formula. The a and b values also decreased significantly with the addition of E. intenstinalis powder. The loss and leavening rates were significantly higher when 5% E. intenstinalis powder was added to the samples. The spread ratio increased proportionally with the amount of E. intenstinalis powder added to the cookie formulation The hardness decreased significantly according to the amount of E. intenstinalis powder. A sensory evaluation of acceptability(appearance, flavor, color, texture and overall quality) indicated that adding a 5% E. intenstinalis powder was most the acceptable treatment compared to the other treatments.

통계적 특성과 신경망을 이용한 초음파 화상진단 (The Ultrasound Image Diagnosis using Statistical Characteristics and Neural Network)

  • 홍정우;김선일;이두수
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1992년도 추계학술대회
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    • pp.26-28
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    • 1992
  • Texture analysis, one of the mage processing techniques, using statistical characteristics is applied to the ultrasound images, which are then classified into each types through neural network. This is a method to be used to diagnose ultrasound images automatically and objectively. First tone kinds of texture analysis techniques proposed already are used to classify ultrasound images and compared in terms of classification rate, and then a new technique if proposed which is invariant to multiplicative gain changes and image resolution.

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