Automatic vision systems are needed to build industrial applications able to adapt themselves to their environment. To allow the development of such robust applications, the authors propose a software tool named OCAPI...
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Automatic vision systems are needed to build industrial applications able to adapt themselves to their environment. To allow the development of such robust applications, the authors propose a software tool named OCAPI, which uses artificial intelligence techniques, to handle knowledge about components of software libraries including their goals and their proper usage. An example of a knowledge base for a pattern recognition problem is presented.< >
Many machinevisionapplications can be simplified by the recognition of pertinent colours in the image. A system is described for investigating clustering in various colour spaces. This can be used to choose the most...
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Many machinevisionapplications can be simplified by the recognition of pertinent colours in the image. A system is described for investigating clustering in various colour spaces. This can be used to choose the most suitable colour space for segmentation in a particular Field. The recognition of resistor colour bands is chosen as a specific case study.< >
作者:
Waltz, Frederick M.3M Company
Engineering Systems and Technology Laboratories 3M Center Building 518-1-01 Saint PaulMN55144 United States
The median filter is one widely-used member of the class of ranked-intensity filters. Such filters are useful in signal processing, and particularly in machinevision, because they effectively remove an important and ...
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Discusses a project to develop a computer vision system for active perceptual tasks such as camera focussing and positioning, and object recognition. The approach has been to utilise principles which have been shown t...
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Discusses a project to develop a computer vision system for active perceptual tasks such as camera focussing and positioning, and object recognition. The approach has been to utilise principles which have been shown to work in animal visual systems, and implement them using a transputer.< >
The human visual system is usually able to recognize objects as well as their spatial relations without the support of depth information like stereo vision. For this reason one can easily understand cartoons, photogra...
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The human visual system is usually able to recognize objects as well as their spatial relations without the support of depth information like stereo vision. For this reason one can easily understand cartoons, photographs and movies. It is the aim of the authors' current research to exploit this aspect of human perception in the context of computer vision. From a monocular TV image one obtains information about the type of an object observed in the scene and its position relative to the camera (viewpoint). This paper deals with the theory of human image understanding as far as used in this system and describes the realization of a vision system based on these principles.< >
The three-dimensional shape of a polyhedron is reconstructed from its perspectively projected image by finding rectangular corners. If a corner is known to be rectangular, its three-dimensional configuration is analyt...
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The three-dimensional shape of a polyhedron is reconstructed from its perspectively projected image by finding rectangular corners. If a corner is known to be rectangular, its three-dimensional configuration is analytically computed, and hence the surface gradients of the faces incident to it are also determined. In order to decide which corners are rectangular, the rectangularity heuristics are introduced, i.e. corners are assumed to be rectangular as long as no inconsistency arises as a result. An optimization technique is presented in order to cope with the problem of insufficiency of information and inconsistency due to error and noise.< >
A description is given of an automatic microorganism recognition and identification method, using imageprocessing based on an expert system, for application in a micro-manipulator system. Since microorganisms under a...
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A description is given of an automatic microorganism recognition and identification method, using imageprocessing based on an expert system, for application in a micro-manipulator system. Since microorganisms under a microscope all appear different, are moving, and have time-dependent shapes, the conventional pattern-matching method used for industrial products can be applied. The proposed method is based on segmentation of the microorganisms, taking advantage of characteristic segment features that are independent of individual size and length. Complicated shapes are divided into simple-shaped segments such as lines, circles, ovals, etc. The relation between segments is described in the database of the expert system. Microorganisms can then be expressed simply by a set of segments and so that their individual differences can be avoided. Tracking the movement of a microorganism by its image is also shown.< >
This paper describes progress in a project to use computer vision to measure the dimensions of knitted garments. The work is being carried out as a joint project involving the Schools of Electronic and Electrical Engi...
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This paper describes progress in a project to use computer vision to measure the dimensions of knitted garments. The work is being carried out as a joint project involving the Schools of Electronic and Electrical Engineering and Textile and Knitwear Technology at Leicester Polytechnic, with the support and collaboration of HATRA (the Technical Centre for the Knitwear Industry). The original objective was to produce instrumentation for the laboratory testing of garments for dimensional stability as proof of shrinkage resistance. A more general need for automated dimension measurement has since emerged in the apparel industry, for example for routine inspection of knitted garments prior to dispatch to customers. The methodology described is also applicable to this kind of problem.< >
The simulation of a pipeline image processor is presented. The pipeline is comprised of a series of common hardware processor elements, each individually programmable to provide a separate function. This architecture ...
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The simulation of a pipeline image processor is presented. The pipeline is comprised of a series of common hardware processor elements, each individually programmable to provide a separate function. This architecture results in real-time system implementation at low cost, making it suitable for industrial visionapplications. A comparison is made between processes operating on square and hexagonally sampled images and an industrial example of surface defect detection is discussed.< >
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