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检索条件"任意字段=Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques"

共 691 条记录，以下是601-610 订阅

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Automated recognition and precise estimation of orientation of objects for industrial applications

Automated recognition and precise estimation of orientation ...

引用

intelligent robots and computer vision XI: algorithms, techniques, and Active vision

作者： Orbert, Curt L. Bengtsson, Ewert W. Nordin, Bo G. Uppsala Univ. Glunten Uppsala Sweden

ISBN: (纸本)0819410268

We present a solution to a common problem in industrial machine vision, to identify and estimate the orientation of touching mechanical parts on a plane surface. The algorithm is based on watershed segmentation and can handle cases where objects touch. After an initial thresholding step, we extract the edges of the binary image, the outer edge as well as edges around holes inside the object. Then we use a distance transformation to create a distance map, i.e., an image where each pixel value represents the distance to the nearest edge pixel. The watershed algorithm is applied on the distance map and we get an image where some objects may be segmented into several parts. For every segment we calculate the center of gravity for its surrounding edge pixels. The different centers of gravity are enough for estimating the orientation of objects that have been segmented into more than one segment. By also calculating the center of gravity for holes of the object and using them in the same way we can estimate the orientation of objects having holes. To recognize the mechanical parts we use the distances between the center of gravity of its segments and holes together with the greatest maximum of the distance map that we find inside each of them. We also calculate the length of the peripheries of the segments and use them to distinguish the objects. We can perhaps recognize, and certainly locate, but not estimate the rotation of the mechanical parts that consist of only one segment without holes. For those objects we construct a circle around the center of gravity with the corresponding greatest maximum as radius. We collect the values of the distance map on this circle line and plot them as a function of the angle to the horizontal axis. We can identify the maxima and minima of this function, from which we estimate the rotation of the object. This information can also be used to identify the object. For overall control algorithm we are using fuzzy logics. As a final step to

关键词： computer vision

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intelligent robots and computer vision X: algorithms and techniques

Intelligent Robots and Computer Vision X: Algorithms and Tec...

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intelligent robots and computer vision X: algorithms and techniques

ISBN: (纸本)0819407445

The Conference materials contain 69 papers grouped into twelve sessions dealing with different topics in computer vision. Pattern recognition;human face recognition algorithms and systems;image processing including feature spaces, edge and contour methods, optical character recognition and morphology;Packaging, materials handling, software and manipulation;fuzzy image processing and image understanding are the main topics covered.

关键词： computer vision

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IMPROVEMENT OF ALGORITHM ABOUT CORNER DETECTION IN OBJECT FEATURE-EXTRACTION

IMPROVEMENT OF ALGORITHM ABOUT CORNER DETECTION IN OBJECT FE...

引用

11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： SUN, GL Institute of Optics and Electronics (China)

An improved algorithm for corner detection in object feature extraction is presented. Due to the introduction of a novel linear transformation, the feature of the chain-code can be applied more reasonably, not only co... 详细信息

ISBN: (纸本)0819410268

关键词： Corner detection Detection and tracking algorithms Feature extraction Image segmentation computer vision technology Machine vision Robot vision robots Microfabrication Sun

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MEASURING SHAPES BY SIZE FUNCTIONS

MEASURING SHAPES BY SIZE FUNCTIONS

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CONF ON intelligent robots AND computer vision 10 : algorithms AND techniques

作者： FROSINI, P Univ. di Bologna (Italy)

ISBN: (纸本)0819407445

We define the concept of size functions. They are functions from the real plane to the natural numbers which describe the `shape of the objects' (seen as submanifolds of a Euclidean space). We give two different techniques of computation of size functions and some actual examples of computation. Moreover, we present the concept of deformation distance between manifolds (i.e., curves, surfaces, etc.). It is a distance which measures the `difference in shape' of two manifolds. Finally we point out the link between deformation distances and size functions.

关键词： Robot vision robots Astatine computer vision technology Evolutionary algorithms Machine vision Optical spheres Distance measurement Shape analysis Artificial intelligence

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APPLICATION OF MORPHOLOGICAL TRANSFORMATIONS IN DEFECT DETECTING OF PRINTED-CIRCUIT BOARD (PCB)

APPLICATION OF MORPHOLOGICAL TRANSFORMATIONS IN DEFECT DETEC...

引用

11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： YUAN, SF ZHANG, XR CHEN, LX HONG, J Harbin Institute of Technology (China)

ISBN: (纸本)0819410268

The application of morphological transformations in defect detecting of printed circuit boards (PCB) is discussed. computer simulation results are given to demonstrate defect detection of PCBs with morphological transformations. A programmable optical binary image morphological processor is given to implement this kind of defect detecting.

关键词： Defect detection Binary data Image processing computer vision technology Machine vision computer simulations Computing systems Frame grabbers Robot vision robots

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OBJECT SEGMENTATION techniques FOR USE IN LABORATORY VISUAL AUTOMATION SYSTEMS

OBJECT SEGMENTATION TECHNIQUES FOR USE IN LABORATORY VISUAL ...

引用

11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： EGGLESTON, P Amerinex Artificial Intelligence Inc. (United States)

ISBN: (纸本)0819410268

In designing automated systems for interpretation or manipulation of laboratory image data such as that derived from microphotographs, it is often the goal to perform operations that extract information about the structure of objects, and to separate and discern various objects within the data. Measurements of the events, called features, can then be calculated and used for process or statistical analysis. Given a transformation of the pixel based image data into an explicit symbolic representation of the objects (i.e., the creation of objects of interest or Tokens), desired information can be extracted and characterized from the visual data. Simple segmentation schemes often lack the sophistication to deal with intricate or very subtle details of this image data. This paper discusses advanced techniques useful in obtaining information relevant to the recognition and extraction of objects of interest in laboratory vision automation applications.

关键词： Image segmentation computer vision technology Image processing Machine vision Edge detection Robot vision robots Visualization Image processing algorithms and systems Photomicroscopy

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INCORPORATING COLOR AND SPATIOTEMPORAL STEREOvision techniques FOR ROAD FOLLOWING

INCORPORATING COLOR AND SPATIOTEMPORAL STEREOVISION TECHNIQU...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： SUNG, E MYINT, T Nanyang Technological Univ. (Singapore)

ISBN: (纸本)0819410268

This paper proposes a method of implementing stereovision in existing mobile robot perception systems without having to solve the classical stereo correspondence problem. The proposed method makes use of the fact that tracking of features is an easier task than performing stereo correspondence. A two-view motion stereo system is implemented in which the correspondence between two cameras is found by temporal stereo tracking. The algorithm assumes an initial stereo match of homologous features seen in the two cameras but subsequently the algorithm reliably tracks each feature by use of accurate odometric information, and accurate 3-D information can be derived from each matched feature. The derived set of 3-D data (of points, lines, and regions) are then fed to a fast surface reconstruction algorithm for later stage interpretation. The proposed scheme can be added to existing mobile robot road following systems at little added cost.

关键词： Cameras Roads Image segmentation Detection and tracking algorithms robots Calibration Mobile robots computer vision technology Machine vision Robot vision

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MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESIAN DECISION-THEORY

MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESI...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： BOULANGER, P GODIN, G National Research Council Canada (Canada)

ISBN: (纸本)0819410268

This paper describes recent work on hierarchical segmentation of range images. The algorithm starts with an initial partition of small planar regions using a robust fitting method constrained by the detection of depth and orientation discontinuities. From this initial partition represented by an adjacency graph structure, we optimally group these regions into larger and larger regions until an approximation limit is reached. The algorithm uses Bayesian decision theory to determine the local optimal grouping and the geometrical complexity of the approximation surface. This algorithm produces a hierarchical structure that can be used to represent objects with a varying level of detail by scanning through the hierarchical structure generated. Experimental results are presented.

关键词： Image segmentation Image processing algorithms and systems Data modeling computer vision technology Error analysis Machine vision Robot vision robots Detection and tracking algorithms Signal to noise ratio

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RECOGNITION OF MOVING VEHICLES USING DIRECTIONAL-TEMPORAL PLANE TRANSFORM

RECOGNITION OF MOVING VEHICLES USING DIRECTIONAL-TEMPORAL PL...

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CONF ON intelligent robots AND computer vision 10 : algorithms AND techniques

作者： TANIGUCHI, H FURUSAWA, H SEKI, A IKEBATA, S Mitsubishi Electric Corp. (Japan)

ISBN: (纸本)0819407445

Traffic flow measurement systems, which recognize vehicles and measure traffic parameters by image processing, are researched. We propose a new recognition method for moving vehicles using directional-temporal plane transform (DTT) for the system. DTT is a transformation from spatiotemporal data to 2-D data onto a directional-temporal plane. The transformation is done by projecting feature data of vehicles to a directional axis which is roughly parallel to the moving loci, and by placing the projected data stream side by side in temporal order. We also show an effective extraction algorithm of vehicles from the 2-D data obtained by DTT. Experimental results using real images demonstrate the effectiveness of this method.

关键词： Image processing Detection and tracking algorithms Robot vision robots Machine vision computer vision technology Cameras Edge detection Magnetic sensors Roads

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BUILDING A SPACE OCCUPANCY MODEL FOR A POWER-LINE MAINTENANCE ROBOT USING A RANGE DATA SENSOR

BUILDING A SPACE OCCUPANCY MODEL FOR A POWER-LINE MAINTENANC...

引用

CONF ON intelligent robots AND computer vision 10 : algorithms AND techniques

作者： CROTEAU, A LAURENDEAU, D LESSARD, J Univ. Laval (Canada) Institut de Recherche d'Hydro-Quebec (Canada)

ISBN: (纸本)0819407445

A telerobotic system for power-line maintenance is equipped with a laser range-finder allowing it to perform an estimation of its workspace occupancy. This paper describes the model used for describing space occupancy and the 3-D computer vision method developed for extracting this information. It consists in building an octree of the scene from several range images taken from various points of view. A calibration is performed using the first image in order to find the initial position of the camera relative to the scene. Successive 3-D images are used to complete the model information until a satisfying knowledge of the space occupancy is reached.

关键词： Image segmentation 3D modeling Cameras Data modeling Robot vision Sensors Calibration computer vision technology Machine vision Visual process modeling

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