• Title/Summary/Keyword: line segment

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Distalization pattern of whole maxillary dentition according to force application points

  • Sung, Eui-Hyang;Kim, Sung-Jin;Chun, Youn-Sic;Park, Young-Chel;Yu, Hyung-Seog;Lee, Kee-Joon
    • The korean journal of orthodontics
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    • v.45 no.1
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    • pp.20-28
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    • 2015
  • Objective: The purpose of this study was to observe stress distribution and displacement patterns of the entire maxillary arch with regard to distalizing force vectors applied from interdental miniscrews. Methods: A standard three-dimensional finite element model was constructed to simulate the maxillary teeth, periodontal ligament, and alveolar process. The displacement of each tooth was calculated on x, y, and z axes, and the von Mises stress distribution was visualized using color-coded scales. Results: A single distalizing force at the archwire level induced lingual inclination of the anterior segment, and slight intrusive distal tipping of the posterior segment. In contrast, force at the high level of the retraction hook resulted in lingual root movement of the anterior segment, and extrusive distal translation of the posterior segment. As the force application point was located posteriorly along the archwire, the likelihood of extrusive lingual inclination of the anterior segment increased, and the vertical component of the force led to intrusion and buccal tipping of the posterior segment. Rotation of the occlusal plane was dependent on the relationship between the line of force and the possible center of resistance of the entire arch. Conclusions: Displacement of the entire arch may be dictated by a direct relationship between the center of resistance of the whole arch and the line of action generated between the miniscrews and force application points at the archwire, which makes the total arch movement highly predictable.

Two-Dimensional Shape Description of Objects using The Contour Fluctuation Ratio (윤곽선 변동율을 이용한 물체의 2차원 형태 기술)

  • 김민기
    • Journal of Korea Multimedia Society
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    • v.5 no.2
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    • pp.158-166
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    • 2002
  • In this paper, we proposed a contour shape description method which use the CFR(contour fluctuation ratio) feature. The CFR is the ratio of the line length to the curve length of a contour segment. The line length means the distance of two end points on a contour segment, and the curve length means the sum of distance of all adjacent two points on a contour segment. We should acquire rotation and scale invariant contour segments because each CFR is computed from contour segments. By using the interleaved contour segment of which length is proportion to the entire contour length and which is generated from all the points on contour, we could acquire rotation and scale invariant contour segments. The CFR can describes the local or global feature of contour shape according to the unit length of contour segment. Therefore we describe the shape of objects with the feature vector which represents the distribution of CFRs, and calculate the similarity by comparing the feature vector of corresponding unit length segments. We implemented the proposed method and experimented with rotated and scaled 165 fish images of fifteen types. The experimental result shows that the proposed method is not only invariant to rotation and scale but also superior to NCCH and TRP method in the clustering power.

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MR diagnosis of cranial neuritis focusing on facial neuritis: Performance of contrast-enhanced 3D-FLAIR technique

  • Lee, Ho Kyu;Koh, Myeong Ju;Kim, Seung Hyoung;Oh, Jung-Hwan
    • Journal of Medicine and Life Science
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    • v.16 no.1
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    • pp.1-5
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    • 2019
  • Our purpose was to evaluate usefulness of the contrast-enhanced 3 dimensional fluid attenuated inversion recovery (3D-FLAIR) technique of half brain volume to diagnose the patients with facial neuritis based on segment-based analysis. We assessed retrospectively 17 consecutive patients who underwent brain MR imaging at 3 tesla for facial neuritis: 11 patients with idiopathic facial neuritis and 6 with herpes zoster oticus. Contrast enhanced 3D-FLAIR sequences of the half brain volume were analyzed and 3D T1-weighted sequence of the full brain volume were used as the base-line exam. Enhancement of the facial nerve was determined in each segment of 5 facial nerve segments by two radiologists. Sensitivity, specificity and accuracy of enhancement of each segment were assessed. The authors experienced a prompt fuzzy CSF enhancement in the fundus of the internal auditory canal in patients with enhancement of the canalicular segment. Interobserver agreement of CE 3D-FLAIR was excellent(${\kappa}$-value 0.885). Sensitivity, specificity, and accuracy of each segment are 1.0, 0.823, 0.912 in the canalicular segment; 0.118, 1.0, 0.559 in the labyrinthine segment; 0.823, 0.294, 0.559 in the anterior genu; 0.823, 0.529, 0.676 in the tympanic segment; 0.823, 0.235, 0.529 in the mastoid segment, respectively. In addition, those of prompt fuzzy enhancement were 0.647, 1.0, and 0.824, respectively. Incidence of prompt fuzzy enhancement with enhancement of the canalicular segment was 11 sites(55%): 6 (54.5%) in idiopathic facial neuritis and 5 (83.3%) in herpes zoster. Enhancement of the canalicular segment and prompt fuzzy enhancement on CE 3D-FLAIR was significantly correlated with occurrence of facial neuritis (p<0.001). CE 3D-FLAIR technique of the half brain volume is useful to evaluate the patients with facial neuritis as an adjunct sequence in addition to contrast-enhanced 3D T1-weighted sequence. On segment-based analysis, contrast enhancement of the canalicular segment is the most reliable. Prompt fuzzy enhancement is seen in not only herpes zoster, but in idiopathic facial neuritis.

3D image processing using laser slit beam and CCD camera (레이저 슬릿빔과 CCD 카메라를 이용한 3차원 영상인식)

  • 김동기;윤광의;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.40-43
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    • 1997
  • This paper presents a 3D object recognition method for generation of 3D environmental map or obstacle recognition of mobile robots. An active light source projects a stripe pattern of light onto the object surface, while the camera observes the projected pattern from its offset point. The system consists of a laser unit and a camera on a pan/tilt device. The line segment in 2D camera image implies an object surface plane. The scaling, filtering, edge extraction, object extraction and line thinning are used for the enhancement of the light stripe image. We can get faithful depth informations of the object surface from the line segment interpretation. The performance of the proposed method has demonstrated in detail through the experiments for varies type objects. Experimental results show that the method has a good position accuracy, effectively eliminates optical noises in the image, greatly reduces memory requirement, and also greatly cut down the image processing time for the 3D object recognition compared to the conventional object recognition.

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A Study on Obstacle Detection for Mobile Robot Navigation (이동형 로보트 주행을 위한 장애물 검출에 관한 연구)

  • Yun, Ji-Ho;Woo, Dong-Min
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.587-589
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    • 1995
  • The safe navigation of a mobile robot requires the recognition of the environment in terms of vision processing. To be guided in the given path, the robot should acquire the information about where the wall and corridor are located. Also unexpected obstacles should be detected as rapid as possible for the safe obstacle avoidance. In the paper, we assume that the mobile robot should be navigated in the flat surface. In terms of this assumption we simplify the correspondence problem by the free navigation surface and matching features in that coordinate system. Basically, the vision processing system adopts line segment of edge as the feature. The extracted line segments of edge out of both image are matched in the free nevigation surface. According to the matching result, each line segment is labeled by the attributes regarding obstacle and free surface and the 3D shape of obstacle is interpreted. This proposed vision processing method is verified in terms of various simulations and experimentation using real images.

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An Algorithm to Find Spatial Relationship between an Area and a Line Segment (면과 선분의 공간관계 발견 알고리즘)

  • 홍은지;정소영;유석인
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10a
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    • pp.180-182
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    • 1999
  • 지리 정보 시스템(Geographic Information System, GIS)에서 가장 주요한 부분을 차지하는 것 중의 하나가 공간 데이터 모델(spatial data model)에서 정의된 각 공간 데이터들간의 공간 관계 연산자(spatial relational operator)의 효과적인 구현이다. 공간 데이터는 점(point), 선(line), 면(area)으로 표현될 수 있다. 이들 사이의 모든 공간 관계는 Disjoint, Touch, Cross, In, Overlap의 다섯 가지 연산자로 표현 가능함이 알려져 가능함이 알려져 있으며, 이들에 대한 실체적인 위상 관계를 표현하는 다양한 수학적 모델링 방법이 존재한다. 하지만, 실제 이들 공간 연산자들을 수학적 모델에 따라 그대로 구현하려고 하면, 컴퓨터 상에서는 표현할 수 없다거나 많은 자원을 차지하는 데이터 구조를 필요로 한다거나, 또는 비효율적인 알고리즘으로 구현할 수 밖에 없는 현실적인 어려움에 봉착한다. 그 중에서도 구현하기 어려운 연산은 면과 선과의 관계, 면과 면과의 공간 관계를 찾아내는 공간 연산자이다. 본 논문에서는 선분의 양끝점을 이용하여 면과 선분(line segment)과의 관계를 찾아내는 알고리즘을 제안한다. 이 알고리즘을 사용하여 면과 선, 면과 면과의 관계를 찾아내는 공간 연산자를 효율적으로 구현할 수 있다.

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Geometrical Building Analysis for Outdoor Environment Understanding of Autonomous Navigation Robot (자율주행 로봇의 외부환경 이해를 위한 기하학적인 빌딩 분석)

  • Kim, Dae-Nyeon;Trinh, Hoang-Hon;Jo, Kang-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.3
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    • pp.277-285
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    • 2010
  • This paper describes an approach to analyze geometrical information of building images for understanding outdoor environment of autonomous navigation robot. Line segments and color information are used to classily a building with the other objects such as sky, trees, and roads. The line segments and their two neighboring regions are extracted from detected edges in image. The model of line segment (MLS) consists of color information of neighbor regions. This model rules out the line segments of non-building face. A building face converges into dominant vanishing points (DVPs) which include one vertical point and one of five horizontal points in maximum. The intersection of vertical and horizontal lines creates a facet of building. The geometrical characteristics such as the center coordinates, area, aspect ratio and aligned coexistence are used for extracting the windows in the building facet. In experiments, 150 building faces and 1607 windows were detected from the database of outdoor environment. We found that this result shows 94.46% detection rate. These experimental images were all taken in Ulsan metropolitan city in Korea under difference of viewpoints, daytime, camera system and weather condition.

Recognition of Car License Plates Using Fuzzy Clustering Algorithm

  • Cho, Jae-Hyun;Lee, Jong-Hee
    • Journal of information and communication convergence engineering
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    • v.6 no.4
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    • pp.444-447
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    • 2008
  • In this paper, we proposed the recognition system of car license plates to mitigate traffic problems. The processing sequence of the proposed algorithm is as follows. At first, a license plate segment is extracted from an acquired car image using morphological features and color information, and noises are eliminated from the extracted license plate segment using line scan algorithm and Grassfire algorithm, and then individual codes are extracted from the license plate segment using edge tracking algorithm. Finally the extracted individual codes are recognized by an FCM algorithm. In order to evaluate performance of segment extraction and code recognition of the proposed method, we used 100 car images for experiment. In the results, we could verify the proposed method is more effective and recognition performance is improved in comparison with conventional car license plate recognition methods.

On-Board Satellite MSS Image Compression

  • Ghassemian, Hassan;Amidian, Asghar
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.645-647
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    • 2003
  • In this work a new method for on-line scene segmentation is developed. In remote sensing a scene is represented by the pixel-oriented features. It is possible to reduce data redundancy by an unsupervised segment-feature extraction process, where the segment-features, rather than the pixelfeatures, are used for multispectral scene representation. The algorithm partitions the observation space into exhaustive set of disjoint segments. Then, pixels belonging to each segment are characterized by segment features. Illustrative examples are presented, and the performance of features is investigated. Results show an average compression more than 25, the classification performance is improved for all classes, and the CPU time required for classification is reduced by the same factor.

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Estimation of Gamut Boundary based on Modified Segment Maxima to Reduce Color Artifacts (컬러 결점을 줄이기 위한 수정된 segment maxima 기반의 색역 추정)

  • Ha, Ho-Gun;Jang, In-Su;Lee, Tae-Hyoung;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.3
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    • pp.99-105
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    • 2011
  • In this paper, we proposed a method for estimating an accurate gamut based on segment maxima method. According to the number of segments in the segment maxima, a local concavity is generated in the vicinity of lightness axis or a gamut is reduced in high chroma region. It induces artifacts or deterioration of the image quality. To remove these artifacts, the number of segment is determined according to the number of samples. and a local concavity is modified by extending a detected concave point to the line connecting two adjacent boundary points. Experimental results show that the contours in a uniform color region and speckle artifacts from the conventional segment maxima algorithm are removed.