In this paper we report on a system that incorporates laser ranging data with reflectance data for improved performance in an object recognition task. A new laser diode-based radar array developed at Perkin-Elmer prov...
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The proceedings contains 57 papers. The papers are grouped under the following session headings: pattern recognition;industrial applications;hardware and systems issues;modular configurations for multiple image format...
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ISBN:
(纸本)0892525398
The proceedings contains 57 papers. The papers are grouped under the following session headings: pattern recognition;industrial applications;hardware and systems issues;modular configurations for multiple image formats;analytical methods and concepts;enhancement and restoration;miscellaneous applications;and coding technology. Some of the specific topics discussed are: character image segmentation;novel method for the analysis of printed circuit images;quantitative analysis of microscope images;parallel processing of images in real time;and robust image matching algorithms.
This paper deals with the development of a general architecture for imageprocessing after considering important aspects of imageprocessingalgorithms commonly used today. The algorithms are linked by mutual operatio...
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ISBN:
(纸本)0892525398
This paper deals with the development of a general architecture for imageprocessing after considering important aspects of imageprocessingalgorithms commonly used today. The algorithms are linked by mutual operations and using this fact leads to architecture suitable for a wide variety of operations. An architecture will be developed that spans a wide range of functionality through systematic expansion, making it fit for low cost production and commercial consumption. It is also the intent of this paper to introduce a general theory about such systems, and to provoke further thinking along these lines.
Hardware for performing matrix operations at high speeds is in great demand in signal and imageprocessing and in many real-time and scientific applications. A low-cost checksum scheme had been proposed to obtain faul...
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ISBN:
(纸本)0892525304
Hardware for performing matrix operations at high speeds is in great demand in signal and imageprocessing and in many real-time and scientific applications. A low-cost checksum scheme had been proposed to obtain fault-tolerant matrix operations on multiple processor systems. In order to solve problems with the checksum scheme, a very general matrix encoding scheme is proposed in this paper to achieve fault-tolerant matrix operations with multiple processor systems. Since many signal and imageprocessingalgorithms involving a multiply-and-accumulate type of expression can be transformed into matrix-vector multiplication operations and executed in a linear array, this scheme is extremely useful for cost-effective and fault-tolerant signal and imageprocessing.
It has long been a dream to realize machines with flexible visual perception capability. Research on digital imageprocessing by computers was initiated about 30 years ago, and since then a wide variety of image proce...
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ISBN:
(数字)9781489908674
ISBN:
(纸本)9780306433016;9781489908698
It has long been a dream to realize machines with flexible visual perception capability. Research on digital imageprocessing by computers was initiated about 30 years ago, and since then a wide variety of imageprocessingalgorithms have been devised. Using such imageprocessingalgorithms and advanced hardware technologies, many practical ma chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition viiviii Preface errors occurred due to noise and the imperfection of segmentation algorithms.
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