• Management & Information Systems Review
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• v.4
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• pp.257-284
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• 2000

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.199-207
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• 2017

This study would analyze the visual expression elements, including layout, color, picture and typography in the election posters with the five main candidates of the 19th Presidential Election as the targets of the analysis. This study analyzed the candidates' images in the election posters and conducted a survey of the visual expression elements survey by the age of the voters. As a result of the analysis, Presidential Candidate Moon Jae-in felt fresh, and Yoo Seung-min like Moon had high percentages in layout and color, highlighting his clean image. Hong Jun-pyo had the most diverse preferences by age, and Ahn Cheol-soo, who showed the most unprecedented poster, too, had diverse preferences by age. Shim Sang-jung, who emphasized her familiar image, had preferences for her visual expression elements by all age groups in the following order: layout, color, picture and typography. Therefore, in order to utilize the visual expressions of the election posters, effectively, it is necessary to clarify the messages that the candidates would claim. For this purpose, objective research should continue so that they can be further developed artistically and academically through broad understanding and analysis of the voters rather than subjective expressions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.1C
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• pp.53-61
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• 2008

In this paper, we propose an algorithm for generation of multi-view video from conventional 2 dimensional video. Color and motion information of an object are used for segmentation and from the segmented objects, multi-view video is generated. Especially, color information is used to extract the boundary of an object that is barely extracted by using motion information. To classify the homogeneous regions with color, luminance and chrominance components are used. A pixel-based motion estimation with a measurement window is also performed to obtain motion information. Then, we combine the results from motion estimation and color segmentation and consequently we obtain a depth information by assigning motion intensity value to each segmented region. Finally, we generate multi-view video by applying rotation transformation method to 2 dimensional input images and the obtained depth information in each object. The experimental results show that the proposed algorithm outperforms comparing with conventional conversion methods.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.5 s.118
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• pp.24-31
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• 2006

The tourism sites and attractions of South Korea in many ways have little specialties in their image due to the local development plan's uniformed way of designing and improving landscape. The lack of specialties in tourist sites and attractions have caused displeasure from the local residents, as the sites don't characterize the locals as attractively and appealingly as is the potential. There have been no research or studies on the scenic effect on tourism or resort development thus producing an urgent call for local authorities to develop planned landscapes of local sites. This study compares Bugok Onchon (hot spring), whose image hardly differentiates itself from the others, with Kinosaki Onsen (hot spring). Bugok Hot Spring, which is the case study of this report, has recorded a steady decline of visitors due to a result of uniformed development planning. In the case of Kinosaki Hot Spring, scenery development, however, has made a breakthrough in tourist increase despite its no-so-easily-accessible location. The study assumes that scenery effects changes in promoting local tourism, thus analyzing and comparing the two hot springs to unearth critical factors in tourist site development, as well as viewing the present state of Bugok Hot Spring for further study. Furthermore, the study provides tourist site developers with a guideline of the two comparative Hot Spring cases. Investigations and analyses are mainly focused on colors, which are important factors in making underlying images of tourist sites, and the comparison of Bugok Hot Spring with Kinosaki Hot Suing. Bugok Hot Spring shows the influences of accent colors as well as a variety of color combinations and similarities of color tones. Kinosaki Hot Spring shows a combination of naturally-generated colors its own scenic beauty by trimming the landscape. Through the comparative study of the two hot springs, Bugok (boulevard) uncovers a typical case of Korean local landscape planning, even with the well-known tourist attraction 'Bugok-Hawaii', and calls upon a new, serious landscape-improvement plan to increase visitors.

• Journal of KIISE:Software and Applications
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• v.31 no.2
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• pp.126-136
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• 2004

This paper proposes a new content-based image retrieval algorithm using color-spatial information. For the purpose, the paper suggests two kinds of indexing key to prune away irrelevant images to a given query image; MCS(Main Colors' Set), which is related with color information and DBS (Distribution Block Signature), which is related with spatial information. After successively applying these filters to a database, we could get a small amount of high potential candidates that are somewhat similar to the query image. Then we would make use of new QM(Quad modeling) and relevance feedback mechanism to obtain more accurate retrieval. It would enhance the retrieval effectiveness by dynamically modulating the weights of color-spatial information. Experiments show that the proposed algorithm can apply successfully image retrieval applications.

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.549-554
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• 2015

As intuitive hardware interfaces continue to be developed, it has become more important to recognize the posture of the user. An efficient alternative to adding expensive sensors is to implement computer vision systems. This paper proposes a method to recognize a user's postured in a live broadcast bi-directional participatory TV program. The proposed method first estimates the position of the user's hands by generation a facial color map for the user and a motion map. The posture is then recognized by computing the relative position of the face and the hands. This method exhibited 90% accuracy in an experiment to recognize three defined postures during the live broadcast bi-directional participatory TV program, even when the input images contained a complex background.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.681-688
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• 2002

This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.10a
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• pp.763-764
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• 2013

A three-dimensional image capturing device and its signal processing algorithm and apparatus are presented. Three dimensional information is one of emerging differentiators that provides consumers with more realistic and immersive experiences in user interface, game, 3D-virtual reality, and 3D display. It has the depth information of a scene together with conventional color image so that full-information of real life that human eyes experience can be captured, recorded and reproduced. 20 Mega-Hertz-switching high speed image shutter device for 3D image capturing and its application to system prototype are presented[1,2]. For 3D image capturing, the system utilizes Time-of-Flight (TOF) principle by means of 20MHz high-speed micro-optical image modulator, so called 'optical resonator'. The high speed image modulation is obtained using the electro-optic operation of the multi-layer stacked structure having diffractive mirrors and optical resonance cavity which maximizes the magnitude of optical modulation[3,4]. The optical resonator is specially designed and fabricated realizing low resistance-capacitance cell structures having small RC-time constant. The optical shutter is positioned in front of a standard high resolution CMOS image sensor and modulates the IR image reflected from the object to capture a depth image (Figure 1). Suggested novel optical resonator enables capturing of a full HD depth image with depth accuracy of mm-scale, which is the largest depth image resolution among the-state-of-the-arts, which have been limited up to VGA. The 3D camera prototype realizes color/depth concurrent sensing optical architecture to capture 14Mp color and full HD depth images, simultaneously (Figure 2,3). The resulting high definition color/depth image and its capturing device have crucial impact on 3D business eco-system in IT industry especially as 3D image sensing means in the fields of 3D camera, gesture recognition, user interface, and 3D display. This paper presents MEMS-based optical resonator design, fabrication, 3D camera system prototype and signal processing algorithms.

• Journal of Fashion Business
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• v.23 no.3
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• pp.101-114
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• 2019

This study aims to analyze the color characteristics of Japanese cultural product shops and differences in business categories by analyzing the colors of the Gion Shopping Street in Kyoto, Japan. Through the study, the traditional colors are reflected not only in the domestic cultural products but also the interior colors of shops. That way, visitors can be influenced naturally and gain indirect cultural experience to form a good image of Korea, which can help to improve sales of cultural products. The analysis was conducted through the colors of Munsell to determine the overall, dominant, assort, and accent colors based on categories of goods to identify the characteristics of the traditional Japanese cultural product shop. Among the 85 shops that were surveyed, YR and W frequently appeared as chromatic and neutral colors. Dominant was W, and assort was YR. B, P and Y also showed up. In color combination analysis, 35.3% was contrasted. For the hue, 32.9% was dark. Based on goods categories, confectionary shops used YR mainly, while souvenir and fashion accessory shops used W the most. Restaurants mostly had W as thedominant and YR for assorting. Cafes and art shops used Bk the most. The interior colors of cultural products shops should maintain the atmosphere of tradition and convey images of the products well. Based on this research, Korea also needs to actively reflect the interior designs of cultural product shops using traditional colors.

• Current Optics and Photonics
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• v.3 no.3
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• pp.256-262
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• 2019

Extensive tumor resection accompanied by radiotherapy and chemotherapy is the standard of care for malignant gliomas. However, there is a significant obstacle to the complete resection of the tumor due to the difficulty of distinguishing tumor and normal brain tissue with a conventional surgical microscope. Recently, multiple studies have shown the possibility of fluorescence-guided surgery in malignant gliomas. The most used fluorescence dyes for brain tumor surgery are 5-aminolevulinic acid (5-ALA) and indocyanine green (ICG). In this paper, a new fluorescence guided operation system, which can detect both 5-ALA and ICG fluorescent images simultaneously, is presented. This operation system consists of light emitting diodes (LEDs) which emits 410 nm and 740 nm wavelengths. We have performed experiments on rats in order to verify the operation of the newly developed operation system. Oral administration and imaging were performed to observe the fluorescence of 5-ALA and ICG fluorescence in rats. When LEDs at wavelengths of 410 nm and 740 nm were irradiated on rats, 628 nm wavelength with a violet fluorescence color and 825 nm wavelength with a red fluorescence color were expressed in 5-ALA and ICG fluorescent material, respectively, thus we were able to distinguish the tumor tissues easily. Previously, due to the poor resolution of the conventional surgical microscope and the fact that the color of the vein is similar to that of the tumor, the tumor resection margin was not easy to observe, thus increasing the likelihood for cancer recurrence. However, when the tumor is observed through the fluorescence guided operation system, it is possible to easily distinguish the color with the naked eye and it can be completely removed. Therefore, it is expected that surgical removal of cancerous tumors will be possible and surgical applications and surgical microscopes for cancer tumor removal surgery will be promising in the future.