• Title/Summary/Keyword: search region

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Development of a Motion Control Algorithm for the Automatic Operation System of Overhead Cranes (천장크레인의 무인운전 시스템을 위한 운동제어 알고리즘 개발)

  • Lee, Jong-Kyu;Park, Young-Jo;Lee, Sang-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.10
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    • pp.3160-3172
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    • 1996
  • A search algorithm for the collision free, time optimal transport path of overhead cranes has been proposed in this paper. The map for the working environment of overhead cranes was constructed in the form of three dimensional grid. The obstacle occupied region and unoccupied region of the map has been represented using the octree model. The best-first search method with a suitable estimation function was applied to select the knot points on the collision free transport path to the octree model. The optimization technique, minimizing the travel time required for transporting objects to the goal while subjected to the dynamic constraints of the crane system, was developed to find the smooth time optimal path in the form of cubic spline functions which interpolate the selected knot points. Several simulation results showed that the selected estimation function worked effectively insearching the knot points on the collision free transport path and that the resulting transport path was time optimal path while satisfying the dynamic constraints of the crane system.

Influence of Interests in Geographical Indication on the Prediction of Price Change of Agricultural Product : Case of Apples (지리적 표시제에 대한 관심이 농산물 가격변화 예측에 미치는 영향 연구 : 사과를 사례로)

  • Choi, Hyo Shin;Sohn, So Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.4
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    • pp.359-367
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    • 2015
  • Geographical Indication (GI) has been used with the expectation to influence customer buying behavior. In this research, we empirically investigate if such relationship exists using apple price changes in Korea along with web search traffic reflecting customers' interest in GI. The experimental results indicate that the apple price of the past, apple supply and web search traffic including GI name were significant on the prediction of price change of Chungju while web search traffic of regional name and that of product were significant for Cheongsong apples with GI. In Yeongcheon with no GI, the apple price of the past turns out to be significant only. The results indicated that interests in GI can help the price prediction but the regional name itself can play the same role, if the GI product is well known in association with the region.

A Fast Iris Region Finding Algorithm for Iris Recognition (홍채 인식을 위한 고속 홍채 영역 추출 방법)

  • 송선아;김백섭;송성호
    • Journal of KIISE:Software and Applications
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    • v.30 no.9
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    • pp.876-884
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    • 2003
  • It is essential to identify both the pupil and iris boundaries for iris recognition. The circular edge detector proposed by Daugman is the most common and powerful method for the iris region extraction. The method is accurate but requires lots of computational time since it is based on the exhaustive search. Some heuristic methods have been proposed to reduce the computational time, but they are not as accurate as that of Daugman. In this paper, we propose a pupil and iris boundary finding algorithm which is faster than and as accurate as that of Daugman. The proposed algorithm searches the boundaries using the Daugman's circular edge detector, but reduces the search region using the problem domain knowledge. In order to find the pupil boundary, the search region is restricted in the maximum and minimum bounding circles in which the pupil resides. The bounding circles are obtained from the binarized pupil image. Two iris boundary points are obtained from the horizontal line passing through the center of the pupil region obtained above. These initial boundary points, together with the pupil point comprise two bounding circles. The iris boundary is searched in this bounding circles. Experiments show that the proposed algorithm is faster than that of Daugman and more accurate than the conventional heuristic methods.

Estimating the Pixel-correspondence to Correct Geomertical Lens Distortion (기하학적 렌즈 왜곡을 보정하기 위한 대응점 찾기)

  • 이학무;황경태;강문기
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.11b
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    • pp.105-108
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    • 1999
  • 렌즈를 통하여 촬영하는 모든 영상은 근본적으로 렌즈에 의한 기하학적인 왜곡이 발생하게 된다. 특히 방송영상에 있어서 더 넓은 영역을 촬영하기 위하여 어안렌즈를 사용하게 되면 왜곡은 더욱 심각해진다. 이러한 기하학적인 렌즈 왜곡은 반지름 r에 대한 다항식으로 모델링될 수 있고 여기서 각 항의 계수를 구함으로써 왜곡은 보정될 수 있다. 각항의 계수는 Block-Matching Algorithm(BMA)을 이용한 대응 화소 검출을 통해서 얻어 질 수 있는데 기존의 BMA는 사각형의 정해진 크기의 탐색 영역(search region)을 가지게 되므로 렌즈왜곡과 같은 특수한 상황에서는 비효율적이다. 따라서 본 논문에서는 렌즈 왜곡에 적응적인 탐색 영역(search region)을 갖는 새로운 BMA를 제안한다. 이는 렌즈 왜곡의 특성을 분석하여 렌즈 왜곡이 많이 일어나는 부분만을 특별히 정해서 대응 화소를 찾으므로 찾는 속도는 현저히 증가하고 성능은 기존의 BMA와 같은 성능을 보인다. 이러한 알고리즘은 하드웨어 구현에도 많은 도움이 될 것이다.

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Fast Stereo Matching Algorithm using Edge Projection

  • Ha, Jong-Eun;Kang, Dong-Joong;Kim, Jin-Young;Kim, Min-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2389-2392
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    • 2005
  • We present fast stereo matching algorithm using edge projection. Traditional stereo matching algorithm uses 2D template for the search of corresponding point thus it requires huge the computational cost. In this paper, we reduce the 2D search problem into 1D using edge projection along vertical and horizontal direction inside the region of interest. Also, by accumulation of edge projection along vertical and horizontal direction, the edge projection within the region of interest could simply be obtained by just subtracting two values. Experimental results show that matching algorithm using edge projection also gives comparable discriminating power compared to that of using intensity.

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Image database construction for IC chip analysis CAD system (IC칩 분석용 CAD 시스템의 영샹 데이터베이스 구축)

  • 이성봉;백영석;박인학
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.5
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    • pp.203-211
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    • 1996
  • This paper describes CAD tools for the construction of image database in IC chip analysis CAD system. For IC chip analysis by high-resolution microscopy, the image database is essential to manage more than several thousand images. But manual database construction is error-prone and time-consuming. In order to solve this problem, we develop a set of CAD toos that include image grabber to capture chip images, image editor to make the whole chip image database from the grabbed images, and image divider to reconstruct the database that consists of evenly overlapped images for efficient region search. we also develop an interactive pattern matching method for user-friendly image editing, and a heuristic region search method for fast image division. The tools are developed with a high-performance graphic hardware with JPEG image comparession chip to process the huge color image data. The tools are under the field test and experimental resutls show that the database construction time can be redcued in 1/3 compared to manual database construction.

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Hierarchical stereo matching using feature extraction of an image

  • Kim, Tae-June;Yoo, Ji-Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.99-102
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    • 2009
  • In this paper a hierarchical stereo matching algorithm based on feature extraction is proposed. The boundary (edge) as feature point in an image is first obtained by segmenting an image into red, green, blue and white regions. With the obtained boundary information, disparities are extracted by matching window on the image boundary, and the initial disparity map is generated when assigned the same disparity to neighbor pixels. The final disparity map is created with the initial disparity. The regions with the same initial disparity are classified into the regions with the same color and we search the disparity again in each region with the same color by changing block size and search range. The experiment results are evaluated on the Middlebury data set and it show that the proposed algorithm performed better than a phase based algorithm in the sense that only about 14% of the disparities for the entire image are inaccurate in the final disparity map. Furthermore, it was verified that the boundary of each region with the same disparity was clearly distinguished.

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The Improved Watershed Algorithm using Adaptive Local Threshold (적응적 지역 임계치를 이용한 개선된 워터쉐드 알고리즘)

  • Lee Seok-Hee;Kwon Dong-Jin;Kwak Nae-Joung;Ahn Jae-Hyeong
    • Annual Conference of KIPS
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    • 2004.11a
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    • pp.891-894
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    • 2004
  • This paper proposes an improved image segmentation algorithm by the watershed algorithm based on the local adaptive threshold on local minima search and the fixing threshold on label allocation. The previous watershed algorithm generates the problem of over-segmentation. The over-segmentation makes the boundary in the inaccuracy region by occurring around the object. In order to solve those problems we quantize the input color image by the vector quantization, remove noise and find the gradient image. We sorted local minima applying the local adaptive threshold on local minima search of the input color image. The simulation results show that the proposed algorithm controls over-segmentation and makes the fine boundary around segmented region applying the fixing threshold based on sorted local minima on label allocation.

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Search for Mn4+-Activated Red Phosphor by Genetic Algorithm (유전 알고리즘을 이용한 Mn4+ 활성 적색 형광체 탐색)

  • Kim, Minseuk;Park, Woon Bae
    • Korean Journal of Materials Research
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    • v.27 no.6
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    • pp.312-317
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    • 2017
  • In the construction of a white LED, the region of the red emission is a very important factor. Red light emitting materials play an important role in improving the color rendering index of commercial lighting. These materials also increase the color gamut of display products. Therefore, the development of novel phosphors with red emission and the study of color tuning are actively underway to improve product quality. In the present study, heuristic algorithms were used to search for phosphors capable of increasing the color rendering index and color gamut. Using a heuristic algorithm, the phosphors that were identified were $SrGe_4O_9:Mn^{4+}$ and $BaGe_4O_9:Mn^{4+}$. Emission spectra study confirmed that these phosphors emit light in the deep red wavelength region, which can fulfill the requirement for the improvement in color rendering index and color gamut for a white LED.

Prediction of the long-term deformation of high rockfill geostructures using a hybrid back-analysis method

  • Ming Xu;Dehai Jin
    • Geomechanics and Engineering
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    • v.36 no.1
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    • pp.83-97
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    • 2024
  • It is important to make reasonable prediction about the long-term deformation of high rockfill geostructures. However, the deformation is usually underestimated using the rockfill parameters obtained from laboratory tests due to different size effects, which make it necessary to identify parameters from in-situ monitoring data. This paper proposes a novel hybrid back-analysis method with a modified objective function defined for the time-dependent back-analysis problem. The method consists of two stages. In the first stage, an improved weighted average method is proposed to quickly narrow the search region; while in the second stage, an adaptive response surface method is proposed to iteratively search for the satisfactory solution, with a technique that can adaptively consider the translation, contraction or expansion of the exploration region. The accuracy and computational efficiency of the proposed hybrid back-analysis method is demonstrated by back-analyzing the long-term deformation of two high embankments constructed for airport runways, with the rockfills being modeled by a rheological model considering the influence of stress states on the creep behavior.