• 전자공학회논문지C
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• 제34C권9호
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• pp.77-83
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• 1997

Based on the curve segment grouping, an efficient recognition of round objects form partially occuluded round boundaries is proposed. Curve segments are extracted from an image using a criterion based on the intra-segment curvature and local contrast. During the curve segment extraction the boundaries of pratially occluding and occuluded objects are segmented to different curve segments. The extracted segments of constant intra-segment curvature are grouped to different curve segments. The extracted segments of constant intra-segment curvature are grouped nto a round boundary by the proposed grouping algorithm using inter-segment curvature which gives the relatinships among the curve segments of the same round boundary. The 1st and the 2nd order moments are used for the parameter estimation of the best fitted ellipse with round boundary, and then recognition is perfomed based on the estimated parameters. The proposed scheme processes in segment unit and is more efficient in computational complexity and memory requirements those that of the conventional scheme which processed in pixel units. Experimental results show that the proposed technique is very efficient in recognizing the round object sfrom the real images with apples and pumpkins.

• International Journal of Advanced Culture Technology
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• 제6권3호
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• pp.173-177
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• 2018

Masks are generated by adding different fonts of learning data characters in pixel unit, and pixel values belonging to each of the masks are divided into 3 groups. Using the directional expansion operators, we expand the text area of the test data character into 4 diagonal directions in order to create the boundary areas to distinguish it from the background area. A mask with a minimum average discordance is selected as the final recognition result by calculating the degree of discordance between the expanded test data and the masks. Image comparison using directional expansion operations more accurately recognizes test data through 4 subdivided recognition processes. It is also possible to expand the ranges of 3 groups of pixel values of masks more evenly such that new fonts can easily be added to the given learning data.

• 호남수학학술지
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• 제40권4호
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• pp.785-794
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• 2018

In [8] they introduced a new finite element method for accurate numerical solutions of Poisson equations with corner singularities. They consider the Poisson equations with homogeneous Dirichlet boundary condition with one corner singularity at the origin, and compute the finite element solution using standard FEM and use the extraction formula to compute the stress intensity factor, then pose a PDE with a regular solution by imposing the nonhomogeneous boundary condition using the computed stress intensity factor, which converges with optimal speed. From the solution they could get an accurate solution just by adding the singular part. This approach uses the polar coordinate and the cut-off function to control the singularity and the boundary condition. In this paper we consider Poisson equations with multiple singular points, which involves different cut-off functions which might overlaps together and shows the way of cording in FreeFEM++ to control the singular functions and cut-off functions with numerical experiments.

• 한국멀티미디어학회논문지
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• 제5권3호
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• pp.255-262
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• 2002

윤곽선 시퀀스는 임의 형상을 간단하면서도 정확하게 표현할 수 있는 좋은 표현법이 될 수 있다. 그러나, 형상을 구성하는 화소로부터 쉽게 구할 수 있는 면적, 무게중심, 오리엔테이션 방향, 투영 히스토그램 등과 같은 형상 특징들을 윤곽선 시퀀스로부터 직접 구하기는 어렵기 때문에, 윤곽선 시퀀스를 임의 형상에 대한 표현법으로 잘 사용하지 못하였다. 본 논문에서는 형상 내부의 연속된 화소들로 구성된 수직(또는 수평)의 라인 세그먼트를 의미하는 크로스 섹션 개념을 이용하여, 윤곽선 시퀀스로부터 형상 특징들을 쉽게 구할 수 있음을 보인다. 윤곽선 시퀀스를 한번 순차적으로 탐색함으로써 크로스 섹션을 효율적으로 구할 수 있는 방법을 제안한다. 또한, 이진 영상으로부터 여러 형상의 윤곽선 시퀀스를 자동으로 추출할 수 있는 효율적인 방법도 함께 제안한다. 제안된 방법들은 형상 내부에 홀(hole)이 있는 경우에도 적용할 수 있다. 결과적으로, 윤곽선 시퀀스가 임의 형상 영역에 대한 매우 효과적인 표현이 될 수 있음을 밝힌다.

• 한국지리정보학회지
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• 제11권3호
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• pp.136-150
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• 2008

항공사진이나 LiDAR 데이터를 이용하여 건물의 자동 추출에 있어서 많은 연구가 이루어졌지만, 3차원 위치정보와 영상의 형상정보라는 두 데이터의 장점을 융합하여 정확도를 향상시킬 수 있다. 이를 위하여 본 연구에서는 등고선 기반의 건물인식 알고리즘을 사용하여 LiDAR 데이터를 이용한 건물 인식 정확도를 향상시키고, 항공사진을 이용하여 건물 경계의 정교화도 추구하였다. 등고선기반 건물 인식 방법은 건물의 경계와 지붕구조물 정보를 생성할 수 있으며, 기존 TIN기반 인식 방법이나 NDSM기반 방법보다 우수한 건물 탐지 정확도를 보여주었다. 등고선으로 추정된 건물경계에 일정한 크기의 버퍼를 생성하여 항공사진의 경계영역을 한정시키고, double active contour를 사용하여 항공사진의 에지에 맞도록 건물경계를 정교화 하였다. 본 연구성과를 이용하여 향후 추출된 개체 경계의 일정 범위에서 최적의 정합을 수행하여 3차원 건물 경계를 생성할 수 있다.

• 대한의용생체공학회:의공학회지
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• 제16권3호
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• pp.337-344
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• 1995

방사선 치료에 있어서 치료전 및 치료도중에 치료부위를 확인하기 위한 수단으로 보편적으로 사용되고 있는 포탈필름은 높은 에너지를 이용하여 촬영되는 것이므로 영상이 매우 흐리며 어둡다는 구조적인 문제점이 있다. 이러한 영상을 개선하기 위하여는 치료필드와 그 주변필드로 영상을 먼저 분할한 후, 각 필드 별로 영상처리를 해야만 한다. 본 연구에서는 소벨 탐지자, 레이블링 기법을 이용하여 최적의 문턱치를 찾아내어 포탈영상을 분할 한 후 형태학적 세선화기법들을 적용하여 포탈영상 분할하는 알고리즘을 제안하였다. 이 알고리즘은 포탈영상에서 불필요한 에지들은 제거하고 치료필드 에지만을 탐지하며 촬영조건이 수시로 변하는 임상적 환경에서 얻어지는 포탈영상들에 적용하여도 균일한 결과를 얻을 수 있다.

• 제어로봇시스템학회논문지
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• 제2권4호
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• pp.324-329
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• 1996

In this paper, we present a vision algorithm to extract the tire information markings on the sidewall of tires. Since the appearance of tire marks is the same as its background, a primary feature to distinguish tire marks from their background is the roughness. Generally, the roughness of tire marks is different from that of its bakground: the surface of tire marks is smoother than the backgrounds. Light incident on the tire surface is reflected differently according to the roughness. For smoother surfaces, the surface irradiance is much stronger than that of rough surfaces. Based on these phenomena and observation, we propose an optimal illumination condition based on Torrance-Sparrow reflection model. We also develop an efficient reflectance-ratio based operator to extract the boundary of tire marks. Even with a very simple masking operation, we were able to obtain remarkable boundary extraction results from real experiments using many tires. By explicitly using the surface reflection model to explain the intensity variation on the black tire surface, we demonstrate that a physics-based vision method is powerful and feasible in extracting surface markings on tires.

• 방송공학회논문지
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• 제23권3호
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• pp.431-436
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• 2018

본 논문에서는 aliasing artifact 없이 영상 품질을 유지하고, 썸네일 생성에 필요한 계산 복잡도를 줄이는 알고리듬을 제안한다. 제안하는 알고리듬은 고속으로 복호화를 진행하기 위해서 TU(Transform Unit)에서는 $4{\times}4$크기마다 경계부분만을 부분 복호화를 수행하고, PU(Prediction Unit)에서는 TU경계부분만을 부분 복호화 한다. 그리고 화면내 예측 모드 방향에 따른 가중치 값을 구하고, 그 값을 이용해서 실제 썸네일 화소를 예측한다. 제안하는 방법은 기존 방법들과 썸네일 추출시간을 비슷하게 유지하면서 썸네일의 품질을 향상시킨다.

• 한국농공학회논문집
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• 제49권5호
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• pp.81-90
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• 2007

Watershed topographical information is required in hydrologic analysis, supporting efficient hydrologic model operation and managing water resources. Watershed topographical data extraction systems based on desktop GIS are abundant these days placing burdens for spatial data processing on users. This paper describes development of a Web-based Geographic Information Systems that can delineate the Geum River sub-basins and extract watershed topographical data in real time. Through this system, users can obtain a watershed boundary by selecting outlet location and then extracting topographical data including watershed area, boundary length, average altitude, slope distribution about the elevation range with Web browsers. Moreover, the system provides watershed hydrological data including land use, soil types, soil drainage conditions, and NRCS(Natural Resources Conservation Service) curve number for hydrologic model operation through grid overlay technique. The system operability was evaluated with the hydrological data of WAMIS(Water Management Information System) with the government operation Web site as reference data.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.1230-1242
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• 1993

In a case of mushroom (Lentinus Edodes L.) , visual features are crucial for grading and the quantitative evaluation of the growth state. The extracted quantitative visual features can be used as a performance index for the drying process control or used for the automatic sorting and grading task. First, primary external features of the front and back sides of mushroom were analyzed. And computer vision based algorithm were developed for the extraction and measurement of those features. An automatic thresholding algorithm , which is the combined type of the window extension and maximum depth finding was developed. Freeman's chain coding was modified by gradually expanding the mask size from 3X3 to 9X9 to preserve the boundary connectivity. According to the side of mushroom determined from the automatic recognition algorithm size thickness, overall shape, and skin texture such as pattern, color (lightness) ,membrane state, and crack were quantified and measured. A portion of t e stalk was also identified and automatically removed , while reconstructing a new boundary using the Overhauser curve formulation . Algorithms applied and developed were coded using MS_C language Ver, 6.0, PC VISION Plus library functions, and VGA graphic function as a menu driven way.