• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.367-370
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• 2015

This paper proposes an improve method of the detection performance of traffic lights for autonomous driving cars. Earlier detection methods used to adopt color thresholding, template matching and based learning maching methods, but its have some problems such as recognition rate decreasing, slow processing time. The proposed method uses both detection mask and morphological preprocessing. Firstly, input color images are converted to YCbCr image in order to strengthen its illumination, and horizontal edge components are extracted in the Y Channel. Secondly, the region of interest is detected according to morphological characteristics of the traffic lights. Finally, the traffic signal is detected based on color distributions. The proposed method showed that the detection rate and processing time improved rather than the conventional algorithm about some surrounding environments.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.4
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• pp.381-390
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• 2010

This paper describes a procedure of the map-based localization for mobile robots by using a sensor fusion technique in structured environments. A combination of various sensors with different characteristics and limited sensibility has advantages in view of complementariness and cooperation to obtain better information on the environment. In this paper, for robust self-localization of a mobile robot with a monocular camera and a laser structured light sensor, environment information acquired from two sensors is combined and fused by a Bayesian sensor fusion technique based on the probabilistic reliability function of each sensor predefined through experiments. For the self-localization using the monocular vision, the robot utilizes image features consisting of vertical edge lines from input camera images, and they are used as natural landmark points in self-localization process. However, in case of using the laser structured light sensor, it utilizes geometrical features composed of corners and planes as natural landmark shapes during this process, which are extracted from range data at a constant height from the navigation floor. Although only each feature group of them is sometimes useful to localize mobile robots, all features from the two sensors are simultaneously used and fused in term of information for reliable localization under various environment conditions. To verify the advantage of using multi-sensor fusion, a series of experiments are performed, and experimental results are discussed in detail.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.128-145
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• 2016

Unlike the past, when fashion brands adopted unilateral communication with their consumers, the brands today have recognized the importance of bi-lateral communication. This has led to the companies producing fashion films as a means to elicit a consensus in opinion between the brands and the consumers. Such fashion films should be understood as films using fashion that transcends time, and also as a type of fashion media. This study, which is based upon the understanding that fashion films are a part of strategic marketing for enhancing the value of brands, used domestic and international literature in order to define fashion films, and establish a theoretical basis for these films. Corroborative study was also conducted for the purpose of practical categorization. This study aims to investigate the characteristics of fashion films, and to suggest a new approach to the study of fashion films. The study adopted the research methodology used in Dudley Andrew's film theory in order to create a theoretical frame that can be used to categorize fashion films. The theory is of significance because it is the basis for the category of motion picture fashion film and media technology fashion film. The study on the categorization and the characteristics of fashion films based upon 6 sub-categories shows a consistent trend of fashion films. From the results, it can be inferred that the films contribute, in part, to the enhancement of brand value. Fashion films have shown rapid growth with the mixture of other media, and with the introduction of cutting-edge technology. Fashion films can be used as new marketing methods for the fashion brands in this digital age.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.87-94
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• 2005

3D positional information of lane can be automatically calculated tv combining GPS data, IMU data if coordinates of lane centers are given. The Road Safety Survey and Analysis Vehicle(RoSSAV) is currently under development to analyze three dimensional safety and stability of roads. RoSSAV has GPS and IMU sensors to get positional information of the vehicle and two road-facing CCD cameras for extraction of lane coordinates. In this paper, we develop technology that automatically detects centers of lanes from the road-facing cameras of RoSSAV. The proposed algorithm defines line-support regions by grouping pixels with similar edge orientation and magnitude together and extracts a line from each line support region by planar fitting. Then if extracted lines and the region in-between satisfy the criteria of brightness and width, we decide this region as lane. The proposed algorithm was more precise and stable than the previously proposed algorithm based on brightness threshold method. Experiments with real road scenes confirmed that lane was effectively extracted by the proposed algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3312-3327
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• 2020

Plant diseases are a significant yield and quality constraint for farmers around the world due to their severe impact on agricultural productivity. Such losses can have a substantial impact on the economy which causes a reduction in farmer's income and higher prices for consumers. Further, it may also result in a severe shortage of food ensuing violent hunger and starvation, especially, in less-developed countries where access to disease prevention methods is limited. This research presents an investigation of Directional Local Quinary Patterns (DLQP) as a feature descriptor for plants leaf disease detection and Support Vector Machine (SVM) as a classifier. The DLQP as a feature descriptor is specifically the first time being used for disease detection in horticulture. DLQP provides directional edge information attending the reference pixel with its neighboring pixel value by involving computation of their grey-level difference based on quinary value (-2, -1, 0, 1, 2) in 0°, 45°, 90°, and 135° directions of selected window of plant leaf image. To assess the robustness of DLQP as a texture descriptor we used a research-oriented Plant Village dataset of Tomato plant (3,900 leaf images) comprising of 6 diseased classes, Potato plant (1,526 leaf images) and Apple plant (2,600 leaf images) comprising of 3 diseased classes. The accuracies of 95.6%, 96.2% and 97.8% for the above-mentioned crops, respectively, were achieved which are higher in comparison with classification on the same dataset using other standard feature descriptors like Local Binary Pattern (LBP) and Local Ternary Patterns (LTP). Further, the effectiveness of the proposed method is proven by comparing it with existing algorithms for plant disease phenotyping.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.303-311
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• 2003

Since the MPEG-4 visual standard enables content-based functionalities, it is necessary to extract video object from natural video sequences. Segmentation algorithms can largely be classified into automatic segmentation and user-assisted segmentation. In this paper, we propose a user-assisted VOP generation method based on the geometric active contour. Since the geometric active contour, unlike the parametric active contour, employs the level set method to evolve the curve, we can draw the initial curve independent of the shape of the object. In order to generate the edge function from a smoothed image, we propose a vector-valued diffusion process in the LUV color space. We also present a discrete 3-D diffusion model for easy implementation. By combining the curve shrinkage in the vector field space with the curve expansion in the empty vector space, we can make accurate extraction of visual objects from video sequences.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.9
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• pp.137-142
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• 2016

When injecting intravenously of CT inspection, the effusion of the contrast meium can induce the tissue damage with the blood vessel outside. We detect extravasation which is generated in the course where we inject the contrast medium into the blood vessel. And we use the bolus tracking system for the detection of that. By using MPR and VR images, moreover we detected the extravasation in order to prevent the tissue damage. In order to detect the effusion of the contrast medium, we used 16-MDCT and 64-MDCT. Three dimensional images about the outflow of the blood vessel can provide the treatment information which is important in the patient treatment. Moreover we applied the image processing technique in order to improve sharpness between contrast media and organization. And sharpness and contrast was improved.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.53-59
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• 2011

In many face recognition applications such as security systems, it is assumed that upright faces are given to the system. In order for the system to be used in more general environments, the system should be able to deal with the rotated faces properly. It is a generally used approach to rotate the face detection window and apply face detector repeatedly to detect a rotated face in the given image. But such an approach requires a lot of computation time. In this paper, a method of extracting the axis of symmetry for a given set of points is proposed. The axis of symmetry for the edge points in the face detection window is extracted in a way that is fast and accurate, and the face detector is applied only for that direction. It is shown that the mean and standard deviation of the symmetry detection error is $0^{\circ}$ and $3^{\circ}$ respectively, for the database used.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.40 no.2
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• pp.37-42
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• 2008

Defects of corrugated board were limiting factors to the corrugated industry's growth. On-line detecting systems of defects are beneficial to increase profits of the corrugated board companies by reducing base paper consumption, increasing process reliability, and increasing productivity. By replacing naked eye inspection of defects to a defects detecting system, continuous inspection without fatigue may guarantee final products quality. The system was developed, which was consisted of line scan CCD camera, lens, illuminating parts, high speed image processor, software, various input parts, and output parts. First installation location of the system was at before fluting process after base paper unwinding, and surface of liner board was inspected by the system. Second installation location was after fluting process and combining process for liner board. Production loss includes ragged appearance of edge, irregular flute shape, wrong combination of flute, score cracking, defects in base paper, and flute cracking. The production loss was analyzed before and after the system installation at a commercial domestic mill. The production loss ratio was defined as a production loss weight per total production weight. The production loss ratio before the installation was decreased a lot from 1.28%(during 3 months before installation) to 0.76%(during 12 months after the first installation) and to 0.25%(during 6 months after the second installation).

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.71-71
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• 1999

현재 소자 제작에 응용되는 수소화된 비정질 실리콘은 PECVD 방법으로 제작하는 것이 보편적인 방법이다. 그러나 비정질 실리콘 박막 트랜지스터는 band gap edge 근처에서 국재준위가 많아 mobility가 작으며 상온에서 조차 불안정하여 신뢰성이 높지 않고, 도핑된 비정질 실리콘의 높은 비저항 등의 단점으로 인하여 고속 회로에 응용이 불가능하다. 반면 다결정질 실리콘 박막 트랜지스터는 a-Si:H TFT 에 비해 재현성이 우수하고 high resolution, high resolution, high contrast LCD에 응용할 수 있다. 하지만, 다결정 실리콘의 grain boundary로 인해 단결정에 비해 많은 defect 들이 존재하여 전도성을 감소시킨다. 따라서 Mobility를 증가시키기 위해서 grain size를 증가시키고 grain boundary 내에 존재하는 trap center를 감소시켜야 한다. 따라서 본 실험에서는 PECVD 장비로 초기 기판을 plasma 처리하여 다결정 실리콘 박막을 제작하여, 기판 처리에 대한 다결정 실리콘 박막의 성장의 특성을 조사하였다. 실험 방법으로는 PECVD 시스템을 이용하여 SiH4 gas와 H2 gas를 선택적으로 증착시키는 LBL 방법을 사용하여 $\mu$c-Si:H 박막을 제작하였다. 비정질 층을 gas plasma treatment 하여 다결정질 실리콘의 증착 initial stage 관찰을 주목적으로 관찰하였다. 다결정 실리콘 박막의 구조적 성질을 조사하기 위하여 Raman, AFM, SEM, XRD를 이용하여 grain 크기와 결정화도에 대해 측정하여 결정성장 mechanism을 관측하였다. LBL 방법으로 증착시킨 박막의 Raman 분석을 통해서 박막 증착 초기에 비정질이 증착된 후에 결정질로 상태가 변화됨을 관측할 수 있었고, SEM image를 통해서 증착 회수를 증가시키면서 grain size가 작아졌다 다시 커지는 현상을 볼 수 있었다. 이 비정질 층의 transition layer를 gas plasma 처리를 통해서 다결정 핵 형성에 영향을 관측하여 적정한 gas plasma를 통해서 다결정질 실리콘 박막 증착 공정을 단축시킬 수 있는 가능성을 짐작할 수 있었고, 또한 표면의 roughnes와 morphology를 AFM을 통하여 관측함으로써 다결정 박막의 핵 형성에 알맞은 증착 표면 특성을 분석 할 수 있었다.