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Titlebook: SIGMA; A Knowledge-Based Ae Takashi Matsuyama,Vincent Shang-Shouq Hwang Book 1990 Springer Science+Business Media New York 1990 Processing.

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发表于 2025-3-21 17:45:06 | 显示全部楼层 |阅读模式
书目名称SIGMA
副标题A Knowledge-Based Ae
编辑Takashi Matsuyama,Vincent Shang-Shouq Hwang
视频video
丛书名称Advances in Computer Vision and Machine Intelligence
图书封面Titlebook: SIGMA; A Knowledge-Based Ae Takashi Matsuyama,Vincent Shang-Shouq Hwang Book 1990 Springer Science+Business Media New York 1990 Processing.
描述It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms 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 sc
出版日期Book 1990
关键词Processing; algorithms; artificial intelligence; computer; control; image processing; performance; technolo
版次1
doihttps://doi.org/10.1007/978-1-4899-0867-4
isbn_softcover978-1-4899-0869-8
isbn_ebook978-1-4899-0867-4
copyrightSpringer Science+Business Media New York 1990
The information of publication is updating

书目名称SIGMA影响因子(影响力)




书目名称SIGMA影响因子(影响力)学科排名




书目名称SIGMA网络公开度




书目名称SIGMA网络公开度学科排名




书目名称SIGMA被引频次




书目名称SIGMA被引频次学科排名




书目名称SIGMA年度引用




书目名称SIGMA年度引用学科排名




书目名称SIGMA读者反馈




书目名称SIGMA读者反馈学科排名




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LLVE: Expert System for Top-Down Image Segmentation,Recently several expert systems for image processing (ESIPs) have been proposed to facilitate image analysis. They use knowledge about image processing techniques to realize effective image analysis. The Low-Level Vision Expert (LLVE) in SIGMA can be considered as one of them.
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Conclusion,We have described the SIGMA image understanding system: motivations and design principles in Chapter 1, reasoning scheme and knowledge representation in Chapter 2, practical algorithms in Chapters 3 and 4, and experimental results in Chapter 5.
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https://doi.org/10.1007/978-1-4899-0867-4Processing; algorithms; artificial intelligence; computer; control; image processing; performance; technolo
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Introduction, visual scenes by computers and consequently denotes an interdisciplinary research area including signal processing, statistical and syntactic pattern recognition, artificial intelligence, psychology, and even neurophysiology. In the early literature, it was called .. . is also widely used to refer
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Algorithms for Evidence Accumulation,ert (MSE), which reasons about the most likely appearance of the object. Then, the description of the expected appearance is given to the Low-Level Vision Expert (LLVE), which verifies/refutes its existence in the image.
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