• Journal of the Korean Society for Advanced Composite Structures
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• v.6 no.3
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• pp.20-25
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• 2015

This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.

• Journal of Dental Rehabilitation and Applied Science
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• v.23 no.3
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• pp.219-225
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• 2007

The ability of a dentist to select and communicate an acceptable shade match to a dental laboratory may be the most important factor in esthetic restorative dentistry. However, shade matching is a very complex situation. In this study, an attempt was made to compare and evaluate the conventional visual assessment and colorimetric analysis in clinical shade matching. 20 patients were selected and their maxillary central incisors shade were measured by Vita classic shade guide, using $Shadepilot^{TM}$ and ShadeEye $NCC^{(R)}$. The results indicate that there is much variation in the shade selection by visual and instrumental methods.

• Journal of Dental Rehabilitation and Applied Science
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• v.23 no.2
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• pp.131-137
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• 2007

The ability of a dentist to select and communicate an acceptable shade match to a dental laboratory may be the most important factor in esthetic restorative dentistry. However, shade matching is a very complex situation. In this study, an attempt was made to compare and evaluate the conventional visual assessment and colorimetric analysis in clinical shade matching. 20 patients were selected and their maxillary central incisors shade were measured by Vita classic shade guide, using $Shadepilot^{TM}$ and ShadeEye $NCC^{(R)}$. The results indicate that there is much variation in the shade selection by visual and instrumental methods.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.3
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• pp.143-150
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• 2008

In this paper, we investigate a real-time environment recognition system based on stereo vision for moving object. This system consists of stereo matching, obstacle detection and distance estimation. In stereo matching part, depth maps can be obtained real road images captured adjustable baseline stereo vision system using belief propagation(BP) algorithm. In detection part, various obstacles are detected using only depth map in case of both v-disparity and column detection method under the real road environment. Finally in estimation part, asymmetric parabola fitting with NCC method improves estimation of obstacle detection. This stereo vision system can be applied to many applications such as unmanned vehicle and robot.

• Radiation Oncology Journal
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• v.34 no.3
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• pp.160-167
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• 2016

In oncologic practice, treatment guidelines provide appropriate treatment strategies based on evidence. Currently, many guidelines are used, including those of the European Association for the Study of the Liver and European Organization for Research and Treatment of Cancer (EASL-EORTC), National Comprehensive Cancer Network (NCCN), Asia-Pacific Primary Liver Cancer Expert (APPLE), and Korean Liver Cancer Study Group and National Cancer Centre (KLCSG-NCC). Although radiotherapy is commonly used in clinical practice, some guidelines do not accept it as a standard treatment modality. In this review, we will investigate the clinical practice guidelines currently used, and discuss the application of radiotherapy.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2096-2099
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• 2003

본 논문에서는 입력 영상의 컬러 정보를 이용함으로써 조명 변화나 얼굴의 자세 변화에 둔감하게 얼굴 정보를 고속 검출하는 알고리듬을 제안하였다 계산복잡도가 작으면서도, 조명의 변화에 민감하지 않은 특성을 가진 NCC (normalized color component) 좌표계에서 정의한 살색에 기반하여 얼굴 후보 영역을 검출하고, 검출된 얼굴 후보 영역 내에서의 눈의 검출에도 색상 분포 특성을 이용함으로써 얼굴의 숙임(nod), 돌림(shake), 기울임(tilt)등에 의한 자세 변화에 대해서도 둔감하게 두 눈의 위치를 고속으로 찾도록 하였다. 특히 집중자(concentrator)를 제안 적용하여 유동적인 눈썹의 영향을 줄이고 눈안의 중심 위치를 찾도록 가중치 눈지도(eye map)를 도입하였다. 제안된 알고리듬이 조명 변화나 얼굴의 다양한 자세 변화가 있는 영상에서 얼굴 후보 영역과 두 눈의 위치를 효과적으로 검출함을 실험을 통해 확인하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.138-140
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• 2013

본 논문에서는 단일시점의 텍스처 영상과 깊이영상을 수신 측에 전송하여 수신 측에서 원하는 시점을 생성하여 시청하는 2D 또는 3D 시스템을 가정하고, 이에 대한 영상 콘텐츠의 소유권을 주장할 수 있는 디지털 워터마킹 방법을 제안한다. 따라서 이 방법에서는 기존의 영상에 대한 공격 뿐 아니라 시점이동도 공격으로 간주한다. 시점이동 공격에 대해 본 논문에서는 송신된 시점으로 시점을 재변환하여 워터마크 데이터를 추출하는 방법을 사용하며, 여기에는 미리 학습된 자료(NCC(normalized cross-correlation) 값)를 사용한다. 워터마크 데이터를 삽입하는 방법은 기존에 가장 흔히 사용되는 방법, 즉 원 영상의 특정영역을 DCT하여 특정 부대역에 데이터를 삽입하는 방법을 사용한다. 실험을 통하여 시점이동된 영상에서의 워터마크 데이터 추출의 어려움을 보이며, 원시점으로 이동한 경우와 그렇지 않은 경우 추출한 워커마크 데이터의 차이도 보인다.

• International Journal of Contents
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• v.8 no.1
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• pp.16-22
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• 2012

In this paper we propose a method for verifying video in a video telephony system implemented in DM6446 DaVinci Processor. Each frame is categorized either error free frame or error frame depending on the predefined criteria. Human face is chosen as a basic means for authenticating the video frame. Skin color based algorithm is implemented for detecting the face in the video frame. The video frame is classified as error free frame if there is single face object with clear view of facial features (eyes, nose, mouth etc.) and the background of the image frame is not different then the predefined background, otherwise it will be classified as error frame. We also implemented the image histogram based NCC (Normalized Cross Correlation) comparison for video verification to speed up the system. The experimental result shows that the system is able to classify frames with 90.83% of accuracy.

• Smart Media Journal
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• v.1 no.3
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• pp.48-55
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• 2012

In general, background subtraction based methods are used to detect the moving objects in visual tracking applications. In this paper we employed background subtraction based scheme to detect the temporarily stationary objects. We proposed two schemes for stationary object detection and we compare those in terms of detection performance and computational complexity. In the first approach we used single background and in the second approach we used dual backgrounds, generated with different learning rates, in order to detect temporarily stopped object. Finally, we used normalized cross correlation (NCC) based image comparison to monitor and track the detected stationary object in a video scene. The proposed method is robust with partial occlusion, short time fully occlusion and illumination changes, as well as it can operate in real time.

• International journal of advanced smart convergence
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• v.7 no.1
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• pp.7-14
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• 2018

In this paper, we derive a transfer function of cross-coupled microwave filter systems by using a characteristics of chain matrices. Depending on the lumped element of capacitor or inductor, the cross-coupled system is negatively- or positively system. We used a ladder network as a starting system composed of several subsystems connected in chain. Each subsystem is descrived by Laplace impedance. By solving the transmission zero characteristic equation derived from the cascaded subsystems, we can find the zeros of filter system with externally cross-coupled lumped elements. With the cross-coupled elements of capacitors, the numerator polynomial of system transfer function is used to locate the quadruplet zeros in complex plane. We show the polynomoials of numerator and denominator of cascaded transfer function, obtaining the zeros of the cross-coupled system.