This Conference Proceedings contains 58 papers presented in 8 sessions dealing with: vision and robotics problems needing solutions;pattern recognition for computervision;image processing;intelligent materials handli...
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This Conference Proceedings contains 58 papers presented in 8 sessions dealing with: vision and robotics problems needing solutions;pattern recognition for computervision;image processing;intelligent materials handling and vision;novel preprocessing algorithms and hardware;technology to support intelligentrobots and automated systems;fuzzy logic in intelligent systems and computervision;image segmentation techniques. The topics considered include the following, among others: learning procedure for the recognition of 3-D objects from 2-D images;flexible gray-level vision system based on multiple cell feature description and Hough transform;extraction of the foveal center and lesion boundary from fundus images;design and characterization of a space-variant CCD sensor;toward a general formula for analogical learning leading to more autonomous systems;image analysis using attributed fuzzy tournament matching algorithm;fuzzy logic for fault diagnosis;color segmentation using minimum description length (MDL) clustering;segmentation using range data and structured light;finding distinctive colored regions in images;multiresolution segmentation of forward-looking IP and SAR imagery using neural networks.
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color technique...
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ISBN:
(纸本)0819410268
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color techniques;morphological processing for intelligent robotics;sensory robotics and control: vision, collision avoidance, path planning;visual servoing in automated manufacturing;and active vision.
The proceedings contain 56 papers. The topics discussed include: neural net selection methods for Gabor transform detection filters;real-time model based vision for industrial domains;an automatic system for the class...
The proceedings contain 56 papers. The topics discussed include: neural net selection methods for Gabor transform detection filters;real-time model based vision for industrial domains;an automatic system for the classification of cellular categories in cytological images;an automated approach to trend monitoring based upon fractal analysis;automatic inspection of electronic surface mount assemblies;vision system based on a classification connexionist algorithm;locating facial features for age classification;and line grouping using perceptual saliency and structure prediction for car detection in traffic scenes.
This paper deals with a two-step segmentation algorithm for 2-D convex objects. First the objects are approximated by an elliptic shape description, and then the boundary of the object is refined using dynamic program...
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ISBN:
(纸本)0819413208
This paper deals with a two-step segmentation algorithm for 2-D convex objects. First the objects are approximated by an elliptic shape description, and then the boundary of the object is refined using dynamic programming. The reason for refinement is accurate shape classification.
This paper presents a new exponential behavior based entropy operator for extracting image edges. Edges can be detected by computing the entropy of brightness or hue in a local region of a picture. The entropy depends...
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ISBN:
(纸本)0819413208
This paper presents a new exponential behavior based entropy operator for extracting image edges. Edges can be detected by computing the entropy of brightness or hue in a local region of a picture. The entropy depends not only on the rate of change of brightness or hue, but also on the average brightness or hue. The experimental result verifies the efficiency of the new entropy operator.
An approach to image analysis is described consisting of five stages: edge detection, thresholding, linking, shape description and shape abstraction. The approach is illustrated by applying the steps to the problem of...
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ISBN:
(纸本)0819413208
An approach to image analysis is described consisting of five stages: edge detection, thresholding, linking, shape description and shape abstraction. The approach is illustrated by applying the steps to the problem of automatic inspection.
In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations a...
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ISBN:
(纸本)0819413208
In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations are based on cranio-facial development theory, and wrinkle analysis. In the implementation, first primary features of the face are found, followed by secondary feature analyses. Preliminary results with real data are presented.
The paper presents a simple laser based triangulation system to acquire range images. The problems of high speed serpentine/raster scanning and sensor-output bottle-neck are addressed here by using a thin plane fan of...
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ISBN:
(纸本)0819413208
The paper presents a simple laser based triangulation system to acquire range images. The problems of high speed serpentine/raster scanning and sensor-output bottle-neck are addressed here by using a thin plane fan of laser light, and a linear variable neutral density filter. It also proposes a Prolog based integrated vision system environment for acquisition, processing, and understanding of range images.
A programmable dynamic neuron with a biologically motivated design has been implemented using analog current-mode techniques. The circuit can exhibit several different processing modes with only slight adjustment in t...
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ISBN:
(纸本)0819413208
A programmable dynamic neuron with a biologically motivated design has been implemented using analog current-mode techniques. The circuit can exhibit several different processing modes with only slight adjustment in the model parameters. The relevant parameters are varied using electronically modifiable current mirrors. The circuit is very compact, and requires only around 20 transistors. In addition the circuit can be configured as a traditional neuron simply by leaving the sampling switches closed. The initial design allows that all the model parameters can be adjusted. Presently the dynamic neuron is restricted to only the nearest neighborhood connections on a chip, but this lack of connectivity can be alleviated by adopting a multiple chip processing scheme in a pyramidal architecture.
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