• Journal of Broadcast Engineering
• /
• v.21 no.4
• /
• pp.515-524
• /
• 2016

Infrared (IR) wavelength is out of visible range and thus usually cut by hot filters in general commercial cameras. However, some information from the near-IR (NIR) range is known to improve the overall visibility of scene in many cases. For example when there is fog or haze in the scene, NIR image has clearer visibility than visible image because of its stronger penetration property. In this paper, we propose an algorithm for fusing the RGB and NIR images to obtain the enhanced images of the outdoor scenes. First, we construct a weight map by comparing the contrast of the RGB and NIR images, and then fuse the two images based on the weight map. Experimental results show that the proposed method is effective in enhancing visible image and removing the haze.

• Journal of the Korea Convergence Society
• /
• v.9 no.9
• /
• pp.117-122
• /
• 2018

In this study, HU(hounsfield unit) value of CT generated by dental prosthesis was measured according to the type of metal when PET-CT was performed, and the degree of distortion and standard deviation of SUV(standard uptake value) and to propose a method to reduce errors in image reading. PET-CT was performed using actual teeth, metal crown, gold crown, titanium, and zirconia dental prosthesis. Compared with general teeth, the SUV value increased with increasing HU value. The SUV value of metal crown, titanium, and zirconia was increased by 37% and the gold crown increased by 45.4%. In addition, image distortions were small in general teeth, metal crown, titanium, and zirconia, but hard curing of the gold crown occurred and image distortion occurred. Therefore, since the metal type of the dental prosthesis affects the SUV value, the NAC(non attenuation correction) PET image of the dental prosthesis can be helpful in the diagnosis of the patient using the gold material.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.13 no.3
• /
• pp.45-54
• /
• 2011

The purpose of this study is to help understanding of east-west culture fusion in fashion since 2000 years, to play a guideline's role in the development on fashion designs study. The methods of this study are academic literatures as well as practical study through case studies about actual works. Tendency of east-west culture fusion in fashion since 2000 years is shape and performance, pattern, accessary. Shape and performance are reinterpreted through east folk fashion transforming on west fashion, pattern shows traditional pattern of each nations, but letters of typical of each nations appears for new pattern which expresses nation identification. Accessary is in the harmony with east -west fashion culture like that without transform. Aesthetic value of east-west culture fusion in fashion since 2000 years is summerised opening, co-ownership, and amusement. First, opening is positiveness of acception and acknowledgment for other. Second, co-ownership turns towards humanism, and proves participating in globalism and really global village. Third, amusement is to express freedom, and to reveal privately emotion concealing in public area.

• Journal of the Korean Society of Costume
• /
• v.55 no.5 s.95
• /
• pp.14-27
• /
• 2005

These new Phenomenon influences with the new terminology 'fusion' on the way of our life in all areas of our society including the clothes and foods. Along with post-structuralism, which aims at diversification and senses deconstructionalism is a characteristic of this time post-structuralism is based upon the deconstructionalism. Especially the arts in the modern society which is called an information-oriented society lack the totality of a text and become fragmentary, and therefore it follows that traditional values are destroyed and at last a new code such as fusion which is incomprehensible if we would be in mono-linear perspective. Dislikes toward excessively formative and orthodox elements of modern pictures and constructs ; features of kitschs and subcultures against materialism are revealed in diverse objects and materialism. In such a situation of mingling of diversifications with no time to evaluate an object, another diverse forms come into the world and there is no room for evaluating. Therefore, this study will make a light on what are tendencies in the fashion design from the end of 20C to the beginning of 21C, and foreground the concept of fusion in modern fashion which is relevant with digitals and its generative background.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2009.10a
• /
• pp.629-632
• /
• 2009

We have proposed a novel viewing angle controllable display of in-plane switching (IPS) mode with single panel. One pixel of this device is divided to two regions, in which main pixel shows image and sub pixel for viewing angle control. In initial state, the liquid crystal of sub pixel is homogeneous aligned on substrate for wide viewing angle mode. On the other hand, after applying voltage, the liquid crystal of sub pixel tilts up for narrow viewing angle mode. The proposed device has advantage for the function for simple manufacturing process and good viewing angle control with single panel.

• Journal of Information Processing Systems
• /
• v.14 no.4
• /
• pp.892-903
• /
• 2018

The paper proposes a novel gait recognition algorithm based on feature fusion of gait energy image (GEI) dynamic region and Gabor, which consists of four steps. First, the gait contour images are extracted through the object detection, binarization and morphological process. Secondly, features of GEI at different angles and Gabor features with multiple orientations are extracted from the dynamic part of GEI, respectively. Then averaging method is adopted to fuse features of GEI dynamic region with features of Gabor wavelets on feature layer and the feature space dimension is reduced by an improved Kernel Principal Component Analysis (KPCA). Finally, the vectors of feature fusion are input into the support vector machine (SVM) based on multi classification to realize the classification and recognition of gait. The primary contributions of the paper are: a novel gait recognition algorithm based on based on feature fusion of GEI and Gabor is proposed; an improved KPCA method is used to reduce the feature matrix dimension; a SVM is employed to identify the gait sequences. The experimental results suggest that the proposed algorithm yields over 90% of correct classification rate, which testify that the method can identify better different human gait and get better recognized effect than other existing algorithms.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2013.05a
• /
• pp.365-366
• /
• 2013

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.2
• /
• pp.98-106
• /
• 2016

Remote sensing is an efficient technology for observing and monitoring the land surfaces inaccessible to humans. This research proposes a methodology for improving the accuracy of the land cover classification using the Landsat-8 operational land imager(OLI) image. The proposed methodology consists of the following steps. First, the normalized difference vegetation index(NDVI) and normalized difference water index(NDWI) images are generated from the given Landsat-8 OLI image. Then, a new image is generated by adding both NDVI and NDWI images to the original Landsat-8 OLI image using the layer-stacking method. Finally, the maximum likelihood classification(MLC), and support vector machine(SVM) methods are separately applied to the original Landsat-8 OLI image and new image to identify the five classes namely water, forest, cropland, bare soil, and artificial structure. The comparison of the results shows that the utilization of the layer-stacking method improves the accuracy of the land cover classification by 8% for the MLC method and by 1.6% for the SVM method. This research proposes a methodology for improving the accuracy of the land cover classification by using the layer-stacking method.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_4
• /
• pp.1901-1910
• /
• 2022

Arriving in the new space age, securing technology for fusion application of KOMPSAT-3·3A and global satellite images is becoming more important. In general, multi-sensor satellite images have relative geometric errors due to various external factors at the time of acquisition, degrading the quality of the satellite image outputs. Therefore, we propose a fine-image registration methodology to minimize the relative geometric error between KOMPSAT-3·3A and global satellite images. After selecting the overlapping area between the KOMPSAT-3·3A and foreign satellite images, the spatial resolution between the two images is unified. Subsequently, tie-points are extracted using a hybrid matching method in which feature- and area-based matching methods are combined. Then, fine-image registration is performed through iterative registration based on pyramid images. To evaluate the performance and accuracy of the proposed method, we used KOMPSAT-3·3A, Sentinel-2A, and PlanetScope satellite images acquired over Daejeon city, South Korea. As a result, the average RMSE of the accuracy of the proposed method was derived as 1.2 and 3.59 pixels in Sentinel-2A and PlanetScope images, respectively. Consequently, it is considered that fine-image registration between multi-sensor satellite images can be effectively performed using the proposed method.

• Journal of Institute of Control, Robotics and Systems
• /
• v.21 no.4
• /
• pp.349-355
• /
• 2015

Underwater robots generally show better performances for tasks than humans under certain underwater constraints such as. high pressure, limited light, etc. To properly diagnose in an underwater environment using remotely operated underwater vehicles, it is important to keep autonomously its own position and orientation in order to avoid additional control efforts. In this paper, we propose an efficient method to assist in the operation for the various disturbances of a remotely operated vehicle for the diagnosis of underwater structures. The conventional AHRS-based bearing estimation system did not work well due to incorrect measurements caused by the hard-iron effect when the robot is approaching a ferromagnetic structure. To overcome this drawback, we propose a sensor fusion algorithm with the camera and AHRS for estimating the pose of the ROV. However, the image information in the underwater environment is often unreliable and blurred by turbidity or suspended solids. Thus, we suggest an efficient method for fusing the vision sensor and the AHRS with a criterion which is the amount of blur in the image. To evaluate the amount of blur, we adopt two methods: one is the quantification of high frequency components using the power spectrum density analysis of 2D discrete Fourier transformed image, and the other is identifying the blur parameter based on cepstrum analysis. We evaluate the performance of the robustness of the visual odometry and blur estimation methods according to the change of light and distance. We verify that the blur estimation method based on cepstrum analysis shows a better performance through the experiments.