• Title/Summary/Keyword: Boundary object

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Extraction of Simplified Boundary In Binary Image (이진 영상에서의 단순화된 윤곽선 추출 방법)

  • 김성영
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.34-39
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    • 1999
  • In this paper, boundary extraction algorithm is suggested by removing boundary noises efficiently and simplifying object shape in binary image. To remove boundary noises, $2{times}2$ mask boundary extraction algorithm is modified . Proposed method is designed to generate a symmetric path for the parasitic branch noise and to analysis traced features on end point of noise. It can extract more simplified object boundary but preserve original object shape by combining white background color extraction result with foreground extraction result. The usefulness of the proposed method was proved through experiments with various binary images.

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Incremental Circle Transform Theory and Its Application for Orientation Detection of Two-Dimensional Objects (증분원변환 이론 및 이차원 물체의 자세인식에의 응용)

  • ;;Zeung Nam Bien
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.7
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    • pp.578-589
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    • 1991
  • In this paper, there is proposed a novel concept of Incremintal Circle Transform which can describe the boundary contour of a two-dimensional object without object without occlusions. And a pattern recognition algorithm to determine the posture of an object is developed with the aid of line integral and similarity transform. Also, It is confirmed via experiments that the algorithm can find the posture of an object in a very fast manner independent of the starting point for boundary coding and the position of the object.

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Enhanced Boundary Partition Color Descriptor for Deformable Object Retrieval (비정형객체 검색을 위한 향상된 분할영역 색 기술자)

  • Jung, Hyun-il;Kim, Hae-kwang
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.778-781
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    • 2015
  • The paper presents a new way of visual descriptor for deformable object retrieval on the basis of partition based description. The proposed descriptor technology partitions a given object into boundary area and interior area and extracts a descriptor from each area. The final descriptor combines these descriptors. From a given image, deformable object is segmented. The center position of the deformable object is calculated. The object is partitioned into N × N blocks on the basis of the given center position. Blocks are classified as boundary area and interior area depending on the pixels in the block. The proposed descriptor consists of extracted MPEG-7 dominant descriptors from both the boundary and interior area. The performance of proposed method is tested on a database of 1,973 handbag images constructed with view point changes. ARR (Average Retrieval Rate) is used for the retrieval accuracy of the proposed algorithm, compared with MPEG-7 dominant color descriptor.

An Effective Orientation-based Method and Parameter Space Discretization for Defined Object Segmentation

  • Nguyen, Huy Hoang;Lee, GueeSang;Kim, SooHyung;Yang, HyungJeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.12
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    • pp.3180-3199
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    • 2013
  • While non-predefined object segmentation (NDOS) distinguishes an arbitrary self-assumed object from its background, predefined object segmentation (DOS) pre-specifies the target object. In this paper, a new and novel method to segment predefined objects is presented, by globally optimizing an orientation-based objective function that measures the fitness of the object boundary, in a discretized parameter space. A specific object is explicitly described by normalized discrete sets of boundary points and corresponding normal vectors with respect to its plane shape. The orientation factor provides robust distinctness for target objects. By considering the order of transformation elements, and their dependency on the derived over-segmentation outcome, the domain of translations and scales is efficiently discretized. A branch and bound algorithm is used to determine the transformation parameters of a shape model corresponding to a target object in an image. The results tested on the PASCAL dataset show a considerable achievement in solving complex backgrounds and unclear boundary images.

Physically-based Haptic Rendering of a Deformable Object Using Two Dimensional Visual Information for Teleoperation (원격조작을 위한 이차원 영상정보를 이용한 변형체의 물리적 모델 기반 햅틱 렌더링)

  • Kim, Jung-Sik;Kim, Jung
    • 한국HCI학회:학술대회논문집
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    • 2008.02c
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    • pp.19-24
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    • 2008
  • This paper presents a physically-based haptic rendering algorithm for a deformable object based on visual information about the intervention between a tool and a real object in a remote place. The physically-based model of a deformable object is created from the mechanical properties of the object and the captured image obtained with a CCD camera. When a slave system exerts manipulation tasks on a deformable object, the reaction force for haptic rendering is computed using boundary element method. Snakes algorithm is used to obtain the geometry information of a deformable object. The proposed haptic rendering algorithm can provide haptic feedback to a user without using a force transducer in a teleoperation system.

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The Camera Tracking of Real-Time Moving Object on UAV Using the Color Information (컬러 정보를 이용한 무인항공기에서 실시간 이동 객체의 카메라 추적)

  • Hong, Seung-Beom
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.2
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    • pp.16-22
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    • 2010
  • This paper proposes the real-time moving object tracking system UAV using color information. Case of object tracking, it have studied to recognizing the moving object or moving multiple objects on the fixed camera. And it has recognized the object in the complex background environment. But, this paper implements the moving object tracking system using the pan/tilt function of the camera after the object's region extraction. To do this tracking system, firstly, it detects the moving object of RGB/HSI color model and obtains the object coordination in acquired image using the compact boundary box. Secondly, the camera origin coordination aligns to object's top&left coordination in compact boundary box. And it tracks the moving object using the pan/tilt function of camera. It is implemented by the Labview 8.6 and NI Vision Builder AI of National Instrument co. It shows the good performance of camera trace in laboratory environment.

Unconstrained Object Segmentation Using GrabCut Based on Automatic Generation of Initial Boundary

  • Na, In-Seop;Oh, Kang-Han;Kim, Soo-Hyung
    • International Journal of Contents
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    • v.9 no.1
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    • pp.6-10
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    • 2013
  • Foreground estimation in object segmentation has been an important issue for last few decades. In this paper we propose a GrabCut based automatic foreground estimation method using block clustering. GrabCut is one of popular algorithms for image segmentation in 2D image. However GrabCut is semi-automatic algorithm. So it requires the user input a rough boundary for foreground and background. Typically, the user draws a rectangle around the object of interest manually. The goal of proposed method is to generate an initial rectangle automatically. In order to create initial rectangle, we use Gabor filter and Saliency map and then we use 4 features (amount of area, variance, amount of class with boundary area, amount of class with saliency map) to categorize foreground and background. From the experimental results, our proposed algorithm can achieve satisfactory accuracy in object segmentation without any prior information by the user.

A new pattern classification algorithm for two-dimensional objects

  • You, Bum-Jae;Bien, Zeungnam
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.917-922
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    • 1990
  • Pattern classification is an essential step in automatic robotic assembly which joins together finite number of seperated industrial parts. In this paper, a fast and systematic algorithm for classifying occlusion-free objects is proposed, using the notion of incremental circle transform which describes the boundary contour of an object as a parametric vector function of incremental elements. With similarity transform and line integral, normalized determinant curve of an object classifies each object, independent of position, orientation, scaling of an object and cyclic shift of the stating point for the boundary description.

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Segmentation and Classification of 3-D Object from Range Information (Range 정보로부터 3차원 물체 분할 및 식별)

  • 황병곤;조석제;하영호;김수중
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.1
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    • pp.120-129
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    • 1990
  • In this paper, 3-dimensional object segmentation and classification are proposed. Planar object is segmented surface using jump boundary and internal boundary. Curved object is segmented surfaces by maximin clustering method. Segmented surfaces are classified by depth trends and angle measurement of normal vectors. Classified surfaces are merged according to adjacent surfaces and compared to Guassian curvature and mean curvature method. The proposed methods have been successfully applied to the synthetic range images and shows good classification.

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Design and Display of Solids Using CSG and Boundary Representation (CSG 표현과 경계 표현을 이용한 입체의 설계 및 화면표시)

  • Park, Kee-Hyun;Kyung, Chong-Min
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.2
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    • pp.151-157
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    • 1990
  • This paper presents a method for rapid wire frame drawing of the 3D objects represented by the CSG scheme. When the two CSG trees are combined into one, the intersection parts of the polygons constituting the object corresponds to each subtree are computed, and the boundary representation of the combined object is obtained according to the given combinational operator and stored in the root node. The boundary representation in the root node is used in the wireframe drawing of the object and later computation of boundary representation. Bezier surface is taken as one of the primitive object the scan-line algorithm is used, which subdivides each scan-line into the spans where no polygon is intersected, and renders each span with the CSG representation of the object.

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