imageprocessing using pixel recursion is proposed as the simplest and fastest approach to shape recognition. The pixel recursion image can be achieved by scanning, and the image after size and orientation normalizati...
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imageprocessing using pixel recursion is proposed as the simplest and fastest approach to shape recognition. The pixel recursion image can be achieved by scanning, and the image after size and orientation normalization can be recognized by the quad-string-array approach. Size normalization can be achieved by the scanning device, and the orientation normalization can be handled by the circular-layer-string method. In orientation normalization, the principle axis of unknown image is achieved by rotation and compared with the standard patterns, which are pre-estimated. The unknown image can be divided into several subimages, and each subimage is coded by the vertical string array, which allows the shape of the unknown object to be described precisely. Experimental results for the vertical string array, random walk, and Gauss-Markov-R-process are discussed.
A computational model for perceptual grouping is described, based on a single-instruction multiple-data (SIMD) machine, embedding a cellular automaton. The author shows that extraction of information and combination o...
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A computational model for perceptual grouping is described, based on a single-instruction multiple-data (SIMD) machine, embedding a cellular automaton. The author shows that extraction of information and combination of perceptual features into higher-level grouping can be performed by SIMD computations. A description is given of a labeling procedure for the cellular automaton, based on the Huffman-Clowes system, where the labels are the states of the automaton and the label combination rules its local transition rules.
The authors have developed a simple, economical robotic arm with both image acquisition and range sensing capabilities for machinevisionapplications. It is connected via an interface board to an IBM PC/AT microcompu...
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The authors have developed a simple, economical robotic arm with both image acquisition and range sensing capabilities for machinevisionapplications. It is connected via an interface board to an IBM PC/AT microcomputer, offering maximum flexibility in programming the arm for different tasks. A sonar ranging device and a video camera are mounted on the arm, and give the system 3-D vision capabilities. The sonar ranging device and associated clock/counter circuitry is connected to the computer via the same board as the robotic arm, whereas the video camera is connected to an image digitization and display board. To illustrate its capabilities, the arm was programmed to scan the immediate environment and attempt to locate and identify the nearest object. Standard imageprocessing and computer vision techniques such as binary thresholding, histogram analysis, signatures and pattern recognition were applied, and excellent object recognition was achieved under a wide variety of lighting and distance conditions.
Two color edge-detection algorithms are presented for high-speed processing of RGB image planes from a color camera using a high-performance convolution processor board. The first uses a 3×3 Laplacian operator an...
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ISBN:
(纸本)0819402389
Two color edge-detection algorithms are presented for high-speed processing of RGB image planes from a color camera using a high-performance convolution processor board. The first uses a 3×3 Laplacian operator and the second uses a cross operator which is composed of horizontal (1×9) and vertical (9×1) difference operator components. In this paper, we examine the performance of these algorithms on artificially-generated color images with different amounts of noise added. This approach is placed in context by reviewing the work of other researchers in color machinevision. The experiments described in this paper were carried out in a Sun workstation environment on simulated color input to test the algorithms. This work is part of the effort to integrate a new high-performance convolver board and color camera into our robotic workcell environment.
In many industrial applications, it is very important to determine 3-D motion and the location of rigid objects in an environment. To meet the demands of practical use, a robust algorithm is proposed. By using three f...
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In many industrial applications, it is very important to determine 3-D motion and the location of rigid objects in an environment. To meet the demands of practical use, a robust algorithm is proposed. By using three frames of stereo images, the algorithm avoids solving some nonlinear equations and involves simple linear computation. Both rotation parameters and translation parameters are obtained by the algorithm and a posteriori criterion for rejecting outliers in a set of triples is applied in order to make the estimates more robust and precise. Experiments with noisy synthetic data have shown that the results are quite good.
The approach to and implementation of a floor plan generation system are described. This system produces, from a set of panoramic stereo images, an accurate floor plan of an entire building. Three-dimensional (3-D) in...
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The approach to and implementation of a floor plan generation system are described. This system produces, from a set of panoramic stereo images, an accurate floor plan of an entire building. Three-dimensional (3-D) information is recovered from the stereo image pairs by a combination of edge detection, line approximation, and triangulation algorithms. The data from each image pair are then combined to form a 3-D space model within a single coordinate reference frame. This space model is stored in a hierarchical geometric modeling structure which is entered into a 3-D display system. The display system generates drafting lines that show the position of objects within each scene. These scenes are then converted to hard copy output. Possible extensions to this system are discussed.
MIRACLE-iv is capable of obtaining the internal structure of an object from a series of silhouette images with no initial explicit models about the object. The images are derived from only one object, but the form is ...
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MIRACLE-iv is capable of obtaining the internal structure of an object from a series of silhouette images with no initial explicit models about the object. The images are derived from only one object, but the form is varied. The system is composed of two subsystems: a model acquisition part (the modeler) and an image-processing strategy part (the strategist). On the assumption that the object consists of hinges, slides and solids, the modeler learns the number of these in the object and the relationship among them. The strategist binds the functional features as hinges or slides with visual features in the actual image data. The image-processing sequence for the extraction of the visual feature is not given previously but is learned automatically through trial and error.< >
A novel stereo matching method operating on edge segments is presented. In this method shape measure of edge segments is introduced to weigh candidates for matching. Matching determination is performed by a hierarchic...
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A novel stereo matching method operating on edge segments is presented. In this method shape measure of edge segments is introduced to weigh candidates for matching. Matching determination is performed by a hierarchical clique method that is based on the weight of the candidates. The method is shown by simulation to perform fairly well if the scene produces good edge images;otherwise, the matching result degrades rapidly due to epipolar constraint too strong for the composite segments' tips.
A method is presented for determining the shape of surfaces whose reflectance properties can vary from Lambertian to specular, without prior knowledge of the relative strengths of the Lambertian and specular component...
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A method is presented for determining the shape of surfaces whose reflectance properties can vary from Lambertian to specular, without prior knowledge of the relative strengths of the Lambertian and specular components of reflection. The object surface is illuminated using extended light sources and is viewed from a single direction. Surface illumination using extended sources makes it possible to ensure the detection of both Lambertian and specular reflections. Multiple source directions are used to obtain an image sequence of the object. An extraction algorithm uses the set of image intensity values measured at each surface point to compute orientation as well as relative strengths of the Lambertian and specular reflection components. The method, photometric sampling, uses samples of a photometric function that relates image intensity to surface orientation, reflectance, and light source characteristics. Experiments conducted on Lambertian surfaces, specular surfaces, and hybrid surfaces show high accuracy in measured orientations and estimated reflectance parameters.
A method is presented which incorporates a discontinuity detection process into a multigrid relaxation algorithm, with the goal of recovering 'significant' discontinuities at different scales. Line processes a...
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A method is presented which incorporates a discontinuity detection process into a multigrid relaxation algorithm, with the goal of recovering 'significant' discontinuities at different scales. Line processes are activated in a deterministic way, depending on local properties of both neighboring line processes (at different scales) and neighboring continuous variables. Computational complexity is O(n) for an image with n pixels, and convergence time is a small multiple of that required by one relaxation step at the finest grid. The scheme is applied to the problem of image segmentation based on color differences. These dissimilarities are detected by considering changes in the relative intensity of the red, green, and blue components of the pixels adjacent to a given discontinuity. A final relaxation step restricted within the detected boundaries is then suggested as a way of 'coloring' the delineated regions in a uniform way. The algorithm has been implemented with high efficiency on a MIMD parallel computer with distributed memory. A coarse grain decomposition is found to be useful for this and other multiscale problems.
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