• Journal of the Korean earth science society
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• v.26 no.7
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• pp.683-690
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• 2005

As remote sensing imagery with high spatial resolution (e.g. pixel resolution of 1m or less) is used widely in the specific application domains, the requirements of advanced methods for this imagery are increasing. Among many applicable methods, the texture image analysis, which was characterized by the spatial distribution of the gray levels in a neighborhood, can be regarded as one useful method. In the texture image, we compared and analyzed different results according to various directions, kernel sizes, and parameter types for the GLCM algorithm. Then, we studied spatial feature characteristics within each result image. In addition, a template matching program which can search spatial patterns using template images selected from original and texture images was also embodied and applied. Probabilities were examined on the basis of the results. These results would anticipate effective applications for detecting and analyzing specific shaped geological or other complex features using high spatial resolution imagery.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.581-587
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• 2003

독립 요소 분석 (Independent Component Analysis: ICA)는 텍스처를 의미 있는 특징으로 변환하는 강인한 영상 필터를 생성하기 위한 확률적 방법이다. ICA는 고차통계적 특성을 사용하여 ICA 필터와 독립 요소를 동시에 학습한다. 제안한 분류 방법은 fast ICA 알고리즘을 사용하여 KOMPSAT 영상으로부터 ICA 필터를 생성한 다음, 필터에 의해 투영된 텍스처들의 특징들을 독립 평면상에서 무감독 방법으로 분류한다. KOMPSAT 영상은 텍스처 성분이 뚜렷하지 않는 영역이 존재하기 때문에 본 논문에서는 투영된 특징 값들과 윈도우 내의 정규화된 평균 화소값으로 특징 벡터를 재구성하였다. 분류 방법으로는 K-means 클러스터링을 적용하였다. 6.6m 해상도를 가진 KOMPSAT 흑백 영상에 대해 제안한 방법은 우수한 분류 성능을 보인다.

• Annual Conference of KIPS
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• 2007.05a
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• pp.315-318
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• 2007

자동 얼굴 인식, 표정 인식과 같은 얼굴 영상과 관련된 다양한 연구 분야는 일반적으로 입력 얼굴 영상에 대한 정규화가 필요하다. 사람의 얼굴은 표정, 조명 등에 따라 다양한 형태변화가 있어 입력 영상 마다 정확한 대표 특징 점을 찾는 것은 어려운 문제이다. 특히 감고 있는 눈이나 작은 눈 등은 검출하기 어렵기 때문에 얼굴 관련 연구에서 성능을 저하시키는 주요한 원인이 되고 있다. 이에 다양한 변화에 강건한 눈 검출을 위하여 본 논문에서는 눈의 텍스처 정보를 이용한 눈 검출 방법을 제안한다. 얼굴 영역에서 눈의 텍스처가 갖는 특성을 정의하고 두 가지 형태의 Eye 필터를 정의하였다. 제안된 방법은 Adaboost 기반의 얼굴 영역 검출 단계, 조명 정규화 단계, Eye 필터를 이용한 눈 후보 영역 검출 단계, 눈 위치 점 검출 단계 등 총 4단계로 구성된다. 실험 결과들은 제안된 방법이 얼굴의 자세, 표정, 조명 상태 등에 강건한 검출 결과를 보여주며 감은 눈 영상에서도 강건한 결과를 보여준다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.377-382
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• 1997

멀티미디어가 발달함에 딸 이를 위한 다양한 검색 기법들이 제안되고 있다. 본 논문에서는 WeCAM 시스템에서 비디오 검색을 하기 위한 텍스처 성분과 영상의 윤곽선 특징을 동시에 이용한 검색 기법을 제안한다. 텍스처 특성 추출에는 8$\times$8 블록 DCT를 기반으로한 DCT-par와 DCT-energy 기법을 적용하고 윤곽선 추출에는 DCT의 대각선 계수를 이용하는 기법을 이용한다. WebCAM으로 생성된 비디오는 MPEG표준을 따르는 것으로 가정하고 있으며, 압축된 데이터에 디코딩 과정없이 직접 검색 기법을 적용함으로써 처리 시간을 단축할수 있다는 장점이 있다.

• Convergence Security Journal
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• v.17 no.3
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• pp.21-29
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• 2017

Accurate encoding of local patterns is a very important factor in texture classification. However, LBP based methods w idely studied have fundamental problems that are vulnerable to noise. Recently, LDP method using edge response and dire ction information was proposed in facial expression recognition. LDP is more robust to noise than LBP and can accommod ate more information in it's pattern code, but it has drawbacks that it is sensitive to rotation transforms that are critical to texture classification. In this paper, we propose a new local pattern coding method called Rotation Invariant Local Direc tional Pattern, which combines rotation-invariant transform to LDP. To prove the texture classification performance of the proposed method in this paper, texture classification was performed on the widely used UIUC and CUReT datasets. As a result, the proposed RILDP method showed better performance than the existing methods.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.160-174
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• 2008

In this paper, we propose new coding techniques for photometry data of three-dimensional(3-D) mesh models. We make a good use of geometry and connectivity information to improve coding efficiency of color, normal vector, and texture data. First of all, we determine the coding order of photometry data exploiting connectivity information. Then, we exploit the obtained geometry information of neighboring vortices through the previous process to predict the photometry data. For color coding, the predicted color of the current vertex is computed by a weighted sum of colors for adjacent vortices considering geometrical characteristics between the current vortex and the adjacent vortices at the geometry predictor. For normal vector coding, the normal vector of the current vertex is equal to one of the optimal plane produced by the optimal plane generator with distance equalizer owing to the property of an isosceles triangle. For texture coding, our proposed method removes discontinuity in the texture coordinates and reallocates texture image segments according to the coding order. Simulation results show that the proposed compression schemes provide improved performance over previous works for various 3-D mesh models.

• Proceedings of the Materials Research Society of Korea Conference
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• 2010.05a
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• pp.28.1-28.1
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• 2010

다양한 반도체 재료 중 ZnO는 3.2 eV의 넓은 밴드 갭을 통한 고효율의 단파장 전기광학 소자 응용 개발에 대한 연구가 진행중에 있으며, 60 meV의 넓은 엑시톤 결합 에너지로 인해 높은 기계적, 열적 안정성을 가진다. 또한 높은 투과성과 굴절율(n=2)을 가지며 이방성 성장을 통한 텍스처 코팅이 가능함으로 PV(photovoltaics)용 유전체 ARC(anti-reflection coating) 재료로 유망하다. 텍스처된 표면은 빛을 차단시키며, 광대역에서 반사를 억제 시킨다. 또한 나노 구조를 통한 나노 다공성 표면은 광대역에서 빛을 모으는 장점이 있으며 태양전지 효율을 극대화 시킬 수 있다. 본 연구에서는 저온 공정이 가능한 hydrothermal 방법으로 다양한 ZnO 나노 구조를 합성하였다. 사용된 합성 재료로 사용되는 zinc nitrate($Zn(NO_3)_2.6H_2O$), hexamethyltetramine(HMT, $C_6H_{12}N_4$)의 농도 및 합성 온도 변화를 통해 다양한 나노구조(나노선, 나노막대, 나노시트 등)의 형태 및 크기를 제어하였다. 이러한 구조적인 변화를 토대로 텍스처된 다공성 나노구조를 형성시키고, 그 형상과 크기 차이에 따른 AR 특성을 평가하였다. ZnO 나노 구조의 결정학적 특성은 XRD(x-ray diffractometer)를 이용하여 분석하였으며, SEM(scanning electron microscope)을 통해 나노 구조의 모양과 크기를 관찰하였다. 또한 UV-Vis spectrophotometer를 통해 나노 구조의 흡수도와 반사도를 측정하였다.

• Journal of the East Asian Society of Dietary Life
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• v.26 no.3
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• pp.271-277
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• 2016

This study was performed to identify sensory characteristics of the Korean traditional cookie Yakgwa prepared by partially replacing wheat flour with glutinous rice flour as well as to conduct cross-cultural comparison of the sensory descriptions of the Yakgwa sample set between Korea and Chinese panelists. Korean and Chinese highly trained panelists identified 22 sensory attributes by descriptive analysis. The addition of glutinous rice flour decreased soybean oil odor, moistness, oiliness and increased hardness, crispness of the Yakgwa samples. In the consumer test, consumers from Korea (n=89) and China (n=56) participated. Yakgwa with 50% glutinous rice flour had a significantly higher overall acceptability than other the Yakgwa samples by Korean and Chinese consumers.

• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.35-43
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• 2013

As texture images have become prevalent throughout a variety of industrial applications, copyright protection of these images has become important issues. For this reason, this paper proposes a color-texture image watermarking algorithm utilizing texture properties inherent in the image. The proposed algorithm selects suitable blocks to embed a watermark using the energy and homogeneity properties of the grey level co-occurrence matrices as inputs for the fuzzy c-means clustering algorithm. To embed the watermark, we first perform a discrete wavelet transform (DWT) on the selected blocks and choose one of DWT subbands. Then, we embed the watermark into discrete cosine transformed blocks with a gain factor. In this study, we also explore the effects of the DWT subbands and gain factors with respect to the imperceptibility and robustness against various watermarking attacks. Experimental results show that the proposed algorithm achieves higher peak signal-to-noise ratio values (47.66 dB to 48.04 dB) and lower M-SVD values (8.84 to 15.6) when we embedded a watermark into the HH band with a gain factor of 42, which means the proposed algorithm is good enough in terms of imperceptibility. In addition, the proposed algorithm guarantees robustness against various image processing attacks, such as noise addition, filtering, cropping, and JPEG compression yielding higher normalized correlation values (0.7193 to 1).

• Korean Journal of Food Science and Technology
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• v.33 no.4
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• pp.427-436
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• 2001

The effects of storage form (paddy and milled rice) and storage period (1, 2, and 3 years) of rice at low temperature $(4^{\circ}C)$ on physicochemical properties of milled and cooked rice and sensory characteristics of cooked rice were investigated. The proximate compositions except moisture content of rice decreased as the storage period increased. Water binding capacity, solubility and swelling power of rice flour decreased with the extended storage period. In the amylogram, the initial pasting temperature, paste viscosity and breakdown of paddy rice flour slurry decreased after 2 years of storage. Moisture content of cooked rice increased while the amount of water evaporated during cooking decreased. These trends were obvious with the longer storage period. Lightness and yellowness of cooked rice were greatly changed after 3 years of storage, regardless of storage form. Texture profile analysis of cooked rice by Texture Analyzer revealed that hardness, fracturability, gumminess were gradually increased while adhesiveness decreased as the storage period of rice increased. A trained panel found that color intensity, intactness of grains, rancid flavor, rice bran flavor, wet cardboard flavor, hardness and chewiness of cooked rice increased with the longer storage period. However, glossiness, transparency, plumpness, puffed corn flavor, dairy flavor, boiled egg white flavor, sweet taste, adhesiveness to lips, smoothness and inner moisture decreased with the extended storage period up to 3 years. Instrumental hardness was highly correlated with sensory hardness.