• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.10-18
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• 2012

Automatic smoke detection systems using a surveillance camera requires a reliable smoke detection method. When an image sequence is captured from smoke spreading over in the air, not only has each smoke image frame a special texture, called static texture, but the difference between two smoke image frames also has a peculiar texture, called dynamic texture. Even though an object has a static texture similar to that of the smoke, its dynamic texture cannot be similar to that of the smoke if its movement differs from the diffraction action of the smoke. This paper presents a reliable smoke detection method using these two textures. The proposed method first detects change regions using accumulated frame difference, and then picks out smoke regions using Haralick features extracted from two textures.

• Proceedings of the KIEE Conference
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• 2000.11d
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• pp.839-841
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• 2000

텍스처 정보는 정지 영상 뿐 아니라 동영상 분석에서도 많은 정보를 제공한다. 이러한 텍스처 정보를 동영상의 움직임 분류에 사용하여 기존의 색, 색영역의 배치 정보, 기준 형상, 명도 텍스처 등을 기본 탐색 키로 삼는 동영상 검색 시스템에 텍스처 특성을 움직임 정보에 적용하여 저 수준 정보에서 움직임 정보가 직접적으로 추출될 수 있음을 보였다. 이 방법의 장점은 배경 소거, 오브젝트 추출 및 추적, 참조 곡선 탐색 등 많은 계산량을 요구하는 연산들이 없이도 움직임 정보를 압축 동영상에서 추출할 수 있다는 것이다. 또한 동영상은 데이터의 양이 매우 크기 때문에 압축되어 있는 것이 필수인데 본 연구에서는 웨이브릿으로 압축되어 있는 동영상에서 움직임 정보가 고주파 부분에 집중되어 있는 점을 이용하여 역변환을 거치지 않고 직접 템포럴 텍스처를 생성하였다. 따라서 계산 속도를 향상시켰으며 계산 과정도 행렬 연산을 기본으로 수행하여 계산 과정을 간단하게 하였다.

• The Journal of Natural Sciences
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• v.8 no.2
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• pp.77-82
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• 1996

New very low bit rate segmentation image coding technique is proposed by segmenting image into textually homogeneous regions. Regions are classified into on of three perceptually distinct texture classes (perceived constant intensity (class I), smooth texture (class II), and rough texture (class III) using the human Visual System (HVS) and the fractals. To design very low bit rate image coder, it is very important to determine nonoverlap and overlap segmentation method for each texture class. Good quality reconstructed images are obtained with about 0.10 to 0.21 bit per pixel (bpp) for many different types of imagery.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.145-154
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• 2015

The quality characteristics of Korean rice cakes (Karedduk) with a mixture of fructooligosaccharide (95%) and AA (acetylated adipate distarch) added, after 2 and 24 hours of storage at $5^{\circ}C$, were investigated. A central composite design was used for arrangement of treatment. Different levels of fructooligosaccharide (95%), 0, 3, 6, 9, and 12%, were added to dry rice flour. In addition, different levels of AA, 0, 0.3, 0.6, 0.9, and 1.2%, were added to the same dry rice flour. The texture properties analysis using a Texture Analyzer revealed that the springiness, cohesiveness, chewiness, gumminess, adhesiveness, and hardness were significantly different. The effect of retarding retrogradation of Korean rice cakes (Karedduk) with added mixtures of fructooligosaccharide (95%) and AA showed an increasing trend as the amount of fructooligosaccharide (95%) and AA increased. Overall, the instrumental texture properties were highly correlated with the sensory characteristics. These results suggest that adding a mixture of 6% fructooligosaccharide (95%) and 1.2% AA to Korean rice cakes (Karedduk) is effective for retarding retrogradation.

• The Journal of Natural Sciences
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• v.5 no.2
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• pp.33-38
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• 1992

A new texture segmentation-based image coding technique which performs segmentation based on roughness of textural regions and properties of the human visual system (HVS) is presented for multime-dia teleconference. The segmentation is accomplished by thresholding the fractal dimension so that textural regions are classified into three texture classes; perceived constant intensity, smooth texture, and rough texture. An image coding system with high compression and good image quality is achieved by developing an efficient coding technique for each segment boundary and each texture class. We compare the coding efficiency of this technique with that of a well established technique (discrete cosine transform (DCT) image coding).

• The Journal of Natural Sciences
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• v.7
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• pp.67-73
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• 1995

In this paper, a new texture segmentation-based image coding technique which performs segmentation based on properties of the human visual system (HVS) is presented. This method solves the problems of a segmentation-based image coding technique with constant segments by proposing a methodology for segmenting an image into texturally homogeneous regions with respect to the degree of roughness as perceived by the HVS. The segmentation is accomplished by thresholding the fractal dimension so that textural regions are classified into three texture classes; perceived constant intensity, smooth texture, and rough texture. It is very important to determine the proper block size for estimating the fractal dimension. Good quality reconstructed images are obtained with about 0.1 to 0.25 bit per pixel (bpp) for many different types of imagery.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.437-443
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• 2015

This paper presents face recognition based on the fusion of visible image and thermal infrared (IR) texture estimated from the face image in the visible spectrum. The proposed face recognition scheme uses a multi- layer neural network to estimate thermal texture from visible imagery. In the training process, a set of visible and thermal IR image pairs are used to determine the parameters of the neural network to learn a complex mapping from a visible image to its thermal texture in the low-dimensional feature space. The trained neural network estimates the principal components of the thermal texture corresponding to the input visible image. Extensive experiments on face recognition were performed using two popular face recognition algorithms, Eigenfaces and Fisherfaces for NIST/Equinox database for benchmarking. The fusion of visible image and thermal IR texture demonstrated improved face recognition accuracies over conventional face recognition in terms of receiver operating characteristics (ROC) as well as first matching performances.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.103-111
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• 2007

The spectral information based image analysis, visual interpretation and automatic classification have been widely carried out so far for remote sensing data processing. Yet recently, many researchers have tried to extract the spatial information which cannot be expressed directly in the image itself. Using the texture and wavelet scheme, we made a wavelet-based texture fusion image which includes the advantages of each scheme. Moreover, using these schemes, we carried out image classification for the urban spatial analysis and the geological structure analysis around the caldera area. These two case studies showed that image classification accuracy of texture image and wavelet-based texture fusion image is better than that of using only raw image. In case of the urban area using high resolution image, as both texture and wavelet based texture fusion image are added to the original image, the classification accuracy is the highest. Because detailed spatial information is applied to the urban area where detail pixel variation is very significant. In case of the geological structure analysis using middle and low resolution image, the images added by only texture image showed the highest classification accuracy. It is interpreted to be necessary to simplify the information such as elevation variation, thermal distribution, on the occasion of analyzing the relatively larger geological structure like a caldera. Therefore, in the image analysis using spatial information, each spatial information analysis method should be carefully selected by considering the characteristics of the satellite images and the purpose of study.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.277-279
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• 2006

본 논문에서는 스크래치 텍스처 및 형태특성을 이용하여 모든 종류의 스크래치를 자동으로 검출 할 수 있는 방법을 제안한다. 제안한 방법은 텍스처 분류 단계와 형태 필터링 단계를 구성된다. 텍스처 분류단계에서는 스크래치의 텍스처 정보를 이용하여 입력영상의 각 화소를 스크래치와 비스크래래치 영역으로 분류한다. 이때 분류기로 신경망을 사용한다. 형태필터링단계에서는 스크래치의 형태정보에 기반하여 설계된 원소구조를 사용하는 모폴로지 필터를 사용하여 잘못 분류된 스크래치 영역을 제거한다. 제안된 방법의 평가를 위해 다양한 종류의 스크래치를 가진 영화 및 애니메이션 데이터에 대해 실험이 이루어 졌고, 그 결과 제안된 방법의 강건함과 효율성이 입증되었다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.41 no.6
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• pp.823-828
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• 2012

Texture and descriptive sensory characteristics of a Korean rice cake (Karedduk) with added mixtures of fructooligosaccharide (95%) and emulsifier, Sodium Stearoyl Lactylate-90 (SSL-90), were investigated after 2 and 24 hr of storage at $5^{\circ}C$. A central composite design was used for the arrangement of treatment. Different levels of fructooligosaccharide (95%), 0, 3, 6, 9, and 12%, were added to dry rice flour. Also, different levels of emulsifier, 0, 0.3, 0.6, 0.9, and 1.2%, were added to the same dry rice flour. The texture properties analysis using a Texture Analyzer revealed that the chewiness, gumminess, and hardness were significantly different. The effect of retarding retrogradation of Korean rice cakes (Karedduk) with added mixtures of fructooligosaccharide (95%) and SSL-90 showed an increasing trend as the amount of fructooligosaccharide (95%) increased. Overall, the instrumental texture properties were highly correlated with the sensory characteristics. The results suggested that Korean rice cakes (Karedduk) with the addition of a mixture of fructooligosaccharide (95%) and SSL-90 can be made from the mixture of 9% fructooligosaccharide (95%) and 0.9% SSL-90 in order to retard starch retrogradation.