• Title/Summary/Keyword: 전개영상

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Intensity Information and Curve Evolution Based Active Contour Model (밝기 정보와 곡선전개 기반의 활성 모델)

  • Kim, Seong-Kon
    • The KIPS Transactions:PartB
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    • v.10B no.5
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    • pp.521-526
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    • 2003
  • In this paper, we propose a geometric active contour model based on intensity information and curve evolution for detecting region boundaries. We put boundary extraction problem as the minimization of the difference between the average intensity of the region and the intensity of the expanding closed curves. We used level set theory to implement the curve evolution for optimal solution. It offered much more freedom in the initial curve position than a general active contour model. Our methods could detect regions whose boundaries are not necessarily defiened by gradient compared to general edge based methods and detect multiple boundaries at the same time. We could improve the result by using anisotropic diffusion filter in image preprocessing. The performance of our model was demonstrated on several data sets like CT and MRI medical images.

The Inner Pipeline Scanning Method by Digital Image Processing and Lens Combination (영상처리기법과 렌즈조합에 의한 관로내 탐사기법)

  • Kim, Won-Dae
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.1
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    • pp.67-73
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    • 2008
  • The most common method of pipeline inspection is to use a remote-controlled-machine equipped with a CCTV, which, however, has many limitations to accurately inspect pipeline condition. In case of a typical CCTV, since the camera looks at the end point of the pipe, the locations of the defects and distance-readings are often different. In addition, the quality and accuracy of the inspection is highly dependent on the operator's skill and experience. In this research a new system is developed by use of the image processing techniques and the lens combination. The image acquisition system is developed that acquires the front and the side view of the pipe simultaneously. Side view unwrapping and stitching technology using image process techniques are developed which delivers high resolution image data.

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Corresponding Points Estimation of Motion Images by Orthogonal Function Expansion (직교 함수 전개법에 의한 동영상의 대응점 추출)

  • 김진우;김경태
    • Journal of Korea Multimedia Society
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    • v.3 no.4
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    • pp.380-388
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    • 2000
  • In computing the optical flow, Horn and Schunck's method which is a representative algorithm is based on differentiation. Therefore it is difficult to estimate the velocity for a large displacement by this algorithm. In this paper, we propose a method for estimating nonuniform motion from sequential images which is based on integral brightness constancy constraints. The equations which transform a source image to a target image are expressed as a function of the displacement field. If marginal effects can be neglected, the form of the transformation integral transform or orthogonal expansion can be determined from the expansion coefficients of the two images. The apparent displacement field is then computed iteratively by a projection method which utilities the functional derivatives of the linearized moment equations. We demonstrate that the performance of the orthogonal function transform on the data set of large motion.

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Aortic Unfolding Measurement Using Non-Contrast Cardiac CT: Normal Range of Low-Risk Subjects (관상동맥 석회화 CT에서 측정한 대동맥 전개: 저위험 환자군에서의 정상 범위)

  • Ji Won Lee;Byoung Wook Choi
    • Journal of the Korean Society of Radiology
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    • v.83 no.2
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    • pp.360-371
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    • 2022
  • Purpose This study aimed to assess the factors influencing aortic unfolding (AU) defined by aortic width on coronary artery calcium (CAC) scan and determine the normal limits for AU. Materials and Methods In this retrospective study, we measured AU in 924 asymptomatic subjects who underwent CAC scanning during routine health screening from June 2015 to June 2018. Multivariate regression analysis was used to evaluate the factors influencing AU. After the exclusion of subjects with risk factors associated with AU, 283 subjects were included in the analysis of normal values of AU. Mean AU, standard deviation, and upper normal limit were calculated. Results Sex, age, CAC score, body mass index, body surface area, hypertension, left ventricular hypertrophy, plasma creatinine, and smoking were significantly associated with AU. The mean AU was 102.2 ± 12.8 mm for men and 93.1 ± 10.7 mm for women. AU increased with advancing age (9.6 mm per decade). Conclusion AU determined from a single measurement on CAC scans was associated with cardiovascular risk factors. The normal limits of AU were defined by age, sex, and body surface area in low-risk subjects in this study.

PIV를 이용한 만곡형 전개판의 가시화 실험

  • 박경현;이주희;배재현;현범수
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2001.05a
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    • pp.45-46
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    • 2001
  • PIV(Particle Image Velocimetry : 입자영상유속계)는 유동장에 분포된 추종입자의 위치를 영상처리에 의해 자동추적 함으로써 속도벡터를 전유동영역에 걸쳐 동시에 구할 수 있는 계측기법이다. 따라서, CFD와 같이 정량적 및 정성적으로 수치해석된 결과와 바로 비교 검토가 가능한 유일한 실험기법으로 인식되고 있다. 본 실험에서는 CFD에 의한 모형의 유체유동 특성을 분석하고 이를 회류수조에서 PIV를 이용해 모형 전개판 주위의 유체흐름을 분석하여 각 전개판 모형의 유체유동 특성을 파악하였다. (중략)

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Image Encryption by C-MLCA and 3-dimensional Chaotic Cat Map using Laplace Expansions (C-MLCA와 Laplace 전개를 이용한 3차원 카오스 캣맵에 의한 영상 암호)

  • Cho, Sung-Jin;Kim, Han-Doo;Choi, Un-Sook;Kang, Sung-Won
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.6
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    • pp.1187-1196
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    • 2019
  • Information security has become a major challenge with the advent of cloud and social networking sites. Conventional encryption algorithms might not be suitable for image encryption because of the large data size and high redundancy among the raw pixels of a digital image. In this paper, we generalize the encryption method for of color image proposed by Jeong et al. to color image encryption using parametric 3-dimensional chaotic cat map using Laplace expansion and C-MLCA. Through rigorous experiments, we demonstrate that the proposed new image encryption system provides high security and reliability.

A Comparative Study of Storytelling between and (<더 월>과 <노란 잠수함>의 스토리텔링 비교연구)

  • Choi, Don-Ill
    • Cartoon and Animation Studies
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    • s.32
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    • pp.23-42
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    • 2013
  • The music videos of and were made based on the music of Pink Floyd and Beatles. This study aims to compare the characteristics of the two songs in terms of music and storytelling method. Previous studies investigated the narrative structure and concept of the storytelling, which are the basis of the images. This study, a comparative study of the two songs, firstly analyzed the narrative structure focusing on the roles and relationships among characters in each song. Secondly, it investigated the method of composition structure and the characteristics of the two pieces of music of which genre is different from each other. Thirdly, it classified the images into intro part, development part, and conclusion part and analyzed by comparison how the song or images inserted in the music interacts with each other. As a result, it was found that described strong progressive rock from the subjective viewpoint through the material storytelling structure by space and it represents the alienation of the hero through simile and metaphor, spatial changes crossing the past and the present, and the actual and non-actual crossover directing. On the other hand, developed a narrative storytelling structure in which progressive fantasy images developed from the psychedelic viewpoint through the confrontation of the good and the bad to deliver the messages of love and peace.

Detection of the Optic Disk Boundary in Retinal Images Using Inward and Outward Curve Evolution (양방향 곡선 전개 방식을 이용한 망막영상에서의 시신경 원판 경계 검출)

  • Lee Sang-Kwan;Kim Seong-Kon
    • The Journal of the Korea Contents Association
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    • v.5 no.6
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    • pp.138-145
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    • 2005
  • This paper describes a technique for detecting the boundary of the optic disk in digital image of the retina using inward and outward curve evolution. This paper offers medical information about glaucoma progresses. For accurate boundary detection, image inpainting based on texture synthesis removes blood vessels crossing the optic disk. For removing noises and preserving boundary of optic disk in image inpainting process, the anisotropic diffusion filtering is necessary. After pre-processing, the optic disk boundary is determined using inward and outward curve evolution. The experimental results show that the algorithm is effective for detection of optic disk boundary.

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Policy of the Korean Film Industry Cluster - Discuss of the Busan City Moving of the Film Related Public Organization - (한국의 영상산업 클러스터 정책 -영화영상 관련기관 부산 이전과 관련한 논의-)

  • Kim, Jin-Hae
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.128-136
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    • 2009
  • Korean Film Industry is focused on the Seoul Metropolitan Areas. Recently regional governments are interested in Film Industry and they are constructing the Film Industry Cluster powerfully. Especially the Government of NoMuHyun's the policy of the regional development is changed to the central focused development in the Governmen of LeeMyungbak. And somebody insisted that Film Industry Cluster is based on the Seoul Metropolitan Areas and the moving of the film related public organization to the Busan City should be cancelled for the development of the Korean Film Industry. But the Busan should be the main city in constructing the Film Industry Cluster and the public film organizations should be moved to the Busan.

Optical flow of heart images by image-flow conservation equation and functional expansion (영상유체보존식과 함수전개법에 의한 심장영상의 광류)

  • Kim, Jin-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.7
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    • pp.1341-1347
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    • 2007
  • The displacement field (Optical flow) has been calculated by bottom-up approaches based on local processing. In contrast with them, in this paper, a top-down approach based on expanding in turn from the lowest order mode the whole motion in an image pair of sequential images is proposed. The intensity of medical images usually represents a quantity which is conserved during the motion. Hence sequential images are ideally related by a coordinate transformation. The displacement field can be determined from the generalized moments of the two images. The equations which transform arbitrary generalized moments from a source image to a target image are expressed as a function of the displacement field. The appareent displacement field is then computed iteratively by a projection method which utilizes the functional derivatives of the linearized moment equations. This method is demonstrated using a pair of sequential heart images. For comparative evaluation, we applied Horn and Schunck's method, a standard multigrid method, and our proposed algorithm to sequential image.