• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.21-30
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• 2015

Image coding based on mixed raster content model generates don't care regions (DCR) in foreground and background layers, and its overall coding performance is greatly affected by region filling methods for DCRs. Most conventional methods for DCR filling fail in utilizing the local signal properties in hole regions and thus the high frequency components in non-DCR regions are reflected into DCR after signal filling. In addition, further high frequency components are induced to the filled signal because of signal discontinuities in the boundary of DCR. To solve this problem, a new DCR filling algorithm using the priority-based adaptive region growing is proposed in this paper. The proposed method uses the watershed algorithm and the flooding priority of each pixel for region filling is determined from the degree of smoothness in the neighborhood area. By growing the filled region into DCR based on the computed priority, the expansion of high-textured area can be minimized which can improve the overall coding performance. Experimental results show that the proposed method outperforms conventional algorithms.

• Journal of Pharmacopuncture
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• v.6 no.1
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• pp.33-34
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• 2003

배경: 독일 의사와 보험회사 위원회 (The German Board of Physicians and Insurance Companies:Bundesausschuss der Arzte und Krankenkassen)가 앞으로 일부 적응증에 대한 침치료에 대해 공적 보험회사가 보험료를 지급해야 할 지에 대한 추가 결정을 하기 위해 침의 효과를 평가하기로 했다. 목적: 1) 침치료가 편두통의 예방, 긴장성 두통, 요통, 무릎과 고관절의 골관절염치료에 대조군 침치료보다 효과가 있는지 검증 2) 침치료가 편두통의 예방적 치료에 표준 약물 치료와 비슷하게 효과가 있는지 검증 3) 보건의료 서비스체계 안에서 주어진 조건에 대한 일상적 침치료의 질적인 부분을 서술하고, 안전성을 평가하며, 다른 침술학파간의 임상결과의 차이와 비용의 효용적 활용부분을 평가한다. 4) 위의 적응증에 해당하는 모든 임상실험연구를 찾아내어 기존의 고찰내용을 갱신한다. 방법: 1) 무작위 표본추출 임상 실험, 침치료, 거짓침 치료, 대기자 명단 대조군, 출발시점 4주, 28주 관찰 2) 무작위 표본추출 임상 실험, 침치료, 표준약물치료 대조군, 츨발시점 4주, 28주 관찰 3) 전향적 다중 의료기관 관찰 연구, 두 가지 다른 자료를 활용하여서, 치료 결과를 침 시술자에 의한 모든 환자 평가 자료와, 열 두 명의 환자 가운데 한 명의 환자로부터 직접 받은 평가 자료 (관찰 출발시점, 치료 출발 시점, 치료 시작 후 6 개월) 실험공간: 1) and 2) 높은 수준의 수련을 한 침 시술 의사가 시술하는 병원이나 일차 진료기관의 외래. 3) 보건 의료 서비스내 저급의 침 시술 의사 (140 시간 수강, 학점 이수 필수) 참가자: 1) $4{\times}320$ 편두통의 예방, 긴장성 두통, 요통, 무릎과 고관절의 골관절염 환자 2) 480 편두통 환자(긴장성 두통 환자 추가적) 3) 약 500,000 환자, 2년 반 동안: 대략 한 적응증 당 10,000 환자 치료법: 모든 침치료 자리는 체침만 허용함. 1) 진짜 침은 학파의 지침에 따른 심자, 거짓 침은 비특이적 자리의 표피만 찌르는 자침 (12-15회, 8주): 대기자 대조군은 12주 동안에 아무 치료도 받지 않는다. 2) Group 1(N=240): 최대 15회 치료, 12주 동안: Group II (N=240) 투약 Proponolol (80-240mg), Metoprolol (100-200mg) or Flunarizin (5-10mg) 하루, 16주 이상 3) 치료회수와 침자리의 선정은 참가자가 결정 주된 임상 결과 지표: 1) 군 간의 치료 전 및 치료 진행 도중 4주 마다의 두통을 느낀 날 수의 차이 (평균 혹은 이상의 편두통이나 긴장성 두통) 2) 요통환자 군간의 기능을 측정하는 FFbH-R (Funktionsfragebogen Hannover) 비교 3) 관절염 환자의 군간 WOMAC 지표 비교 4) 군 간의 24주 동안 두통을 느낀 날 수의 차이(평균 혹은 이상의 편두통이나 긴장성 두통) 5) 적응증, 부작용, 성공율에 대한 거시적 평가, 사용한 침수, 환자의 만족도, SES(?). ADS(?) 통증 장애 지표(PDI), 삶의 질 지표(SF36). 예비 결과 위의 결과가 큰 관찰 연구에 초점을 맞추면서 소개될 것임.

• The KIPS Transactions:PartB
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• v.13B no.7 s.110
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• pp.689-698
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• 2006

Pattern recognition is the study of how machines can observe the environment, learn to distinguish patterns of interest from their background, and make sound and reasonable decisions about the categories of the patterns. Color image consists of various color patterns. And most pattern recognition methods use the information of color which has been trained and extract the feature of the color. This thesis extracts adaptively specific color feature from images with several limited colors. Because the number of the color patterns is limited, the distribution of the color in the image is similar. But, when there are some noises and distortions in the image, its distribution can be various. Therefore we cannot extract specific color regions in the standard image that is well expressed in special color patterns to extract, and special color regions of the image to test. We suggest new method to reduce the error of recognition by extracting the specific color feature adaptively for images with the low distortion, and six test images with some degree of noises and distortion. We consequently found that proposed method shouws more accurate results than those of statistical pattern recognition.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.170-186
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• 2019

The marine ecosystem survey investigates and analyzes multi-parameters at various times from various sites. Therefore, it is very difficult to analyze the complex ecological data of multi-items effectively, and it is more difficult to identify the current status and diagnose the problems of ecosystem through data analysis. Therefore, this paper aims to provide an example of interpretation of complex ecological data through analysis of distribution characteristics and outliers of ecological survey data. The main contents of the study are to elucidate the background levels of coastal ecosystem parameters considering the distribution characteristics of data, and to establish ecosystem monitoring indicators and an adaptive management system for the coastal waters in Korean Peninsula. The data used in this paper are based on the coastal ecosystem survey of the National Marine Ecosystem Monitoring Program conducted by the Ministry of Oceans and Fisheries (MOF) and the Korea Marine Environment Management Corporation (KOEM), and the major citations are from year 2015 to 2017. This article is a preliminary study to establish the above processes and the final result will be derived in 2020 when the coastal ecosystem survey is completed three times along the Korean coast.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.4
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• pp.75-86
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• 2004

This paper proposes a method to speed up the document image binarization using a water flow model. The proposed method extracts the region of interest (ROI) around characters from a document image and restricts pouring water onto a 3-dimensional terrain surface of an image only within the ROI. The amount of water to be filed into a local valley is determined automatically depending on its depth and slope. The proposed method accumulates weighted water not only on the locally lowest position but also on its neighbors. Therefore, a valley is filed enough with only one try of pouring water onto the terrain surface of the ROI. Finally, the depth of each pond is adaptively thresholded for robust character segmentation, because the depth of a pond formed at a valley varies widely according to the gray-level difference between characters and backgrounds. In our experiments on real document images, the Proposed method has attained good binarization performance as well as remarkably reduced processing time compared with that of the existing method based on a water flow model.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.838-846
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• 2004

In the case where both a camera and a target are moving at the same time, the image background is successively changed, and the overlap with other moving objects is apt to be generated. The snake algorithms have been variously used in tracking the object, but it is difficult to be applied in the excessive overlap with other objects and the large bias between the snake and the target. To solve this problem, this paper presents an extended snake model. It includes an additional energy function which considers the temporal variation rate of the snake's area and a SSD algorithm which generates the template adaptive to the snake detected in the previous frame. The new energy function prevents the snake from over-shrinking or stretching and the SSD algorithm with adaptively changing template allows the prediction of the target's position in the next frame. The experimental results have shown that the proposed algorithm successfully tracks the target even when the target is temporarily occluded by other objects.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.9-21
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• 2004

The current paper proposes a genetic algorithm (GA)-based segmentation method that can automatically extract and track moving objects. The proposed method mainly consists of spatial and temporal segmentation; the spatial segmentation divides each frame into regions with accurate boundaries, and the temporal segmentation divides each frame into background and foreground areas. The spatial segmentation is performed using chromosomes that evolve distributed genetic algorithms (DGAs). However, unlike standard DGAs, the chromosomes are initiated from the segmentation result of the previous frame, then only unstable chromosomes corresponding to actual moving object parts are evolved by mating operators. For the temporal segmentation, adaptive thresholding is performed based on the intensity difference between two consecutive frames. The spatial and temporal segmentation results are then combined for object extraction, and tracking is performed using the natural correspondence established by the proposed spatial segmentation method. The main advantages of the proposed method are twofold: First, proposed video segmentation method does not require any a priori information second, the proposed GA-based segmentation method enhances the search efficiency and incorporates a tracking algorithm within its own architecture. These advantages were confirmed by experiments where the proposed method was success fully applied to well-known and natural video sequences.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.8
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• pp.55-67
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• 1998

This paper presents an automatic facial feature point extraction algorithm in sequential color images. To extract facial region in the video sequence, a moving color detection technique is proposed that emphasize moving skin color region by applying motion detection algorithm on the skin-color transformed images. The threshold value for the pixel difference detection is also decided according to the transformed pixel value that represents the probability of the desired color information. Eye candidate regions are selected using both of the black/white color information inside the skin-color region and the valley information of the moving skin region detected using morphological operators. Eye region is finally decided by the geometrical relationship of the eyes and color histogram. To decide the exact feature points, the PCA(Principal Component Analysis) is used on each eye and mouth regions. Experimental results show that the feature points of eye and mouth can be obtained correctly irrespective of background, direction and size of face.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.3
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• pp.608-618
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• 2007

Image binarization is an important preprocessing to identify the object of interest by dividing pixels into the background and object. We proposes efficient binarization method and a stroke reconstruction method of the low quality character image for an effective character recognition. First, the character image is binarized by using the both advantages of local and global thresholding method and then the noise elimination around the character stroke and the hole filling on the stoke by the analysis of the binarized stroke image are performed to enhance the quality of the character stroke. Proposed binarization algorithm for character image achieved an efficiency of both processing speed and performance by the adaptive threshold selection. Moreover, We could get a high qualify binary image by a stroke reconstruction of the step-by-step denoising process.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.37-52
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• 2021

Introduction : Oral motor function is basic function of sensory exploration, feeding, and communication, that develops from the fetal stage to childhood. Problems with oral motor function result in difficulty within handling food in the oral cavity, decreased swallowing and feeding skills, difficulty with communication, and problems with oral hygiene. To treat these symptoms, oral motor therapy is provided for normalizing sensory adaptation in the oral cavity, and increasing postural control, oral movement and oral motor function. Discussion : The oral motor facilitation technique (OMFT) was developed for increasing general and integrated oral motor function based on the following: 1) understanding orofacial muscular physiology; 2) a comprehensive approach to sensory·adaptation·behavior·cognition; 3) sensorimotor stimulation by a manual approach; 4) motor control and motor learning theory. The OMFT is a new evidence-based treatment protocol, for children and adults with neuromuscular and oral motor problems. Conclusion : The goal of this article is to provide a theoretical background for OMFT development and the basic concept for the clinical application of OMFT. We hope that this article will help oral motor therapy experts to provide effective therapy in a more professional way.