• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.76-83
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• 2010

In this paper, we propose a method that converts a inputted real image to a image feeling like printmaking. That is, this method converts a inputted real image to man made rubber printmaking style image using image processing techniques such as spatial filters, image bit-block transfer, etc. The process is as follows. First, after detecting edges in source image, we get the first image by deleting noise lines and points, then by sharpening. Secondly, we get second image using the similar method to the first image. Finally, we blend the first and the second image by logical AND operation This processing enables us to represent rubber panel and knife effects. Also, the proposed method shows that double edge detecting is effective in enhancing line-width and removing the tiny lines.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.461-464
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• 2000

본 논문에서는 복잡한 배경과 조명의 영향과 그리고 얼굴의 크기가 변화하는 경우에도 주어진 영상으로부터 얼굴을 검출하는 새로운 효율적인 방법을 제안한다. 정면 얼굴의 경계선이 타원과 유사한 형태를 가지며 얼굴을 수직으로 이등분하는 직선을 기준으로 얼굴의 좌우 외곽선은 반사 대칭 (reflection symmetry) 의 조건을 만족한다. 이러한 반사 대칭의 조건을 허프 (Hough) 변환과 유사한 타원 모델링에 결합하여 주어진 영상에서 얼굴을 검출한다. 얼굴이 포함된 다양한 영상에서 실험을 통하여 제안한 얼굴 검출방법의 타당성을 확인하였다.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.75-85
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• 2002

In this paper, we propose an efficient method for recognizing lip. Lip is localized by using the shape of lip and the pixel values around lip contour. The shape of lip is represented by a statistically based active shape model which learns typical lip shape from a training set. Because this model is affected by the initial position, we use a boundary between upper and lower lip as initial position for searching lip. The boundary is localized by using a weighted vector based on lip's shape. The experiments have been performed for many images, and show very encouraging result.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.437-444
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• 2008

최근 유비쿼터스 시대를 맞아 건설 분야에서 이용되는 CAD 자료에서 GIS 자료로의 변환 및 융복합에 대한 요구가 증대되면서 상호변환을 위한 연구가 활발하게 진행되고 있다. 본 연구에서는 건설도면 CAD 데이터를 활용하여 수치지도의 건물데이터를 수정, 갱신하기 위한 방법론의 일환으로 건설도면의 건물외곽선을 추출하여 수치지도의 건물데이터 수준으로 일반화하는 선형 단순화 알고리즘을 비교 분석하였다. 선형 단순화 알고리즘은 Douglas-Peucker 알고리즘, Lang 알고리즘, Reumann-Witkam, Opheim 알고리즘을 적용하였으며 분석방법으로는 시각적 분석, 절점 수, 총길이, 면적 변화율 분석 그리고 각 절점이 수치지도 작성내규를 만족하는 비율을 이용하였다. 분석 결과 Douglas-Peycker 알고리즘이 시각적 측면과 절점 수 감소율 측면에서 상대적으로 우수한 단순화 결과를 보여주었으나 수치지도 작성내규 만족도 측면에서는 공통적으로 $50{\sim}60%$ 수준의 만족도를 보이고 있어 국내의 수치지도의 건물데이터를 작성하기 위한 단순화 기법으로는 한계가 있는 것으로 나타났으며 이를 만족시키기 위한 일반화 알고리즘의 개발이 필요하다고 판단된다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.3
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• pp.259-266
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• 2013

An automated cell tracking system is used to automatically analyze and track the changes in cell behavior in time-lapse cell images acquired using a microscope with a cell culture. Clustering is the partial overlapping of neighboring cells in the process of cell change. Separating clusters into individual cells is very important for cell tracking. In this study, we proposed an algorithm for separating clusters by using ellipse fitting based on a direct least square method. We extracted the contours of clusters, divided them into line segments, and then produced their fitted ellipses using a direct least square method for each line segment. All of the fitted ellipses could be used to separate their corresponding clusters. In experiments, our algorithm separated clusters with average precisions of 91% for two overlapping cells, 84% for three overlapping cells, and about 73% for four overlapping cells.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.103-110
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• 2012

The population growth along with the urbanization, has caused more problems in many public areas, such as subway airport terminals, hospital, etc. Many surveillance systems have been installed in the public areas, but not all of those can be monitored in real-time, because the operators that observe the monitors are very small compared with the number of the monitors. For example, the observer can miss some crucial accidents or detect after considerable delays. Thus, intelligent surveillance system for preventing the accidents are needed, such as Intelligent Surveillance Systems. in this paper, we propose a new crowd density estimation method which aims at estimating moving crowd using images from surveillance cameras situated in outdoor locations. The moving crowd is estimated from the area where using optical flow. The edge information is also used as feature to measure the crowd density, so we improve the accuracy of estimation of crowd density. A multilayer neural network is designed to classify crowd density into 5 classes. Finally the proposed method is experimented with PETS 2009 images.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.484-494
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• 2018

The uniform motion blur removing algorithm of Cho et al. has the problem that the edge region of the image cannot be restored clearly. We propose the effective algorithm to overcome this problem by using shock filter that reconstructs a blurred step signal into a sharp edge, and convolutional neural network (CNN) that learns by extracting features from the image. Then uniform motion blur kernel is estimated from the latent sharp image to remove blur in the image. The proposed algorithm improved the disadvantages of the conventional algorithm by reconstructing the latent sharp image using shock filter and CNN. Through the experimental results, it was confirmed that the proposed algorithm shows excellent reconstruction performance in objective and subjective image quality than the conventional algorithm.

• Journal of the Korea Computer Graphics Society
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• v.17 no.4
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• pp.11-21
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• 2011

This paper proposes a method for decomposing a Hangul glyph of outline fonts into its initial, medial and final components using statistical-structural information. In a font family, the positions of components are statistically consistent and the stroke relationships of a Hangul character reflect its structure. First, we create the component histograms that accumulate the shapes and positions of the same components. Second, we make pixel clusters from character image based on pixel direction probabilities and extract the candidate strokes using position, direction, size of clusters and adjacencies between clusters. Finally, we find the best structural match between candidate strokes and predefined character model by relaxation labeling. The proposed method in this paper can be used for a study on formative characteristics of Hangul font, and for a font classification/retrieval system.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.625-630
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• 2009

Researches of image-based 3D reconstruction have recently produced a number of good results, but they assumed that the accurate foreground to be reconstructed is already extracted from each input image. This paper proposes a novel approach to extract more accurate foregrounds by iteratively performing foreground extraction and 3D reconstruction in a manner similar to an EM algorithm on regions segmented in an initial stage, called segments. Here, the segments should preserve foreground boundaries to compensate for the boundary errors generated by visual hull, simple 3D reconstruction to minimize the computational time, and should also be composed of the small number of sets to minimize the user input. Therefore, we utilize image segmentation using the graph-cuts method, which minimizes energy function composed of data and smoothness terms, and the two methods are iteratively performed until the energy function is optimized. In the experiments, more accurate results of the foreground, especially in boundaries, were obtained, although the proposed method used a simple 3D reconstruction method.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.10
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• pp.777-788
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• 2006

This paper describes a displacement mapping technique which represents protruded shapes on the surface of an object. Previous approaches for image-based displacement mapping can represent only shapes depressed from the polygon surface. The proposed technique can represent shapes protruded from the underlying surface in real-time. Two auxiliary surfaces which are perpendicular to the underlying surface are added along the boundary of the polygon surface, in order to represent the pixels which overflow over the boundary of the polygon surface. The proposed approach can represent accurate silhouette of protruded shape. It can represent not only smooth displacement of protruded shape, but also abrupt displacement such as perpendicular protrusion by means of adding the supplementary texture information to the steep surface of protruded shape. By per-pixel instructions on the programmable GPU this approach can be executed in real-time. It provides an effective solution for the representation of protruded shape such as high-rise buildings on the ground.