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Titlebook: Automatic Generation of Morphological Set Recognition Algorithms; Robert C. Vogt Book 1989 Springer-Verlag New York Inc. 1989 Closing.Eros

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發(fā)表于 2025-3-21 16:27:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automatic Generation of Morphological Set Recognition Algorithms
影響因子2023Robert C. Vogt
視頻videohttp://file.papertrans.cn/167/166424/166424.mp4
學(xué)科分類Springer Series in Perception Engineering
圖書封面Titlebook: Automatic Generation of Morphological Set Recognition Algorithms;  Robert C. Vogt Book 1989 Springer-Verlag New York Inc. 1989 Closing.Eros
影響因子Since the early days of computers, machine learning and automatic programming have attracted researchers in computer science and related fields, particularly pattern recognition and automatic control theory. Most of the learning concepts in machine perception have been inspired by pattern recognition approaches that rely on statistical techniques. These statistical techniques have applicability in limited recognition tasks. Automatic programming in perception systems has generally been limited to interfaces that allow easy specification of the task using natural language. Clearly, machine learning and automatic programming can make percep- tion systems powerful and easy to use. Vogt‘s book addresses both these tasks in the context of machine vision. He uses morphological operations to implement his approach which was developed for solving the figure-ground problem in images. His system selects the correct se- quence of operators to accept or reject pixels for fmding objects in an image. The sequence of operators is selected after a user specifies what the correct objects are. On the surface it may appear that the problem solved by the system is not very interesting, however, the co
Pindex Book 1989
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Book 1989elects the correct se- quence of operators to accept or reject pixels for fmding objects in an image. The sequence of operators is selected after a user specifies what the correct objects are. On the surface it may appear that the problem solved by the system is not very interesting, however, the co
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Automatic Generation of Morphological Set Recognition Algorithms
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Introduction, particular problem, and beyond that to formalize the entire search process for an algorithm. That is what this book is about, and it essentially arose out of my own experience and frustrations at performing these same steps manually for a period of two years while at Thomson-CGR in France, and subs
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Review of Mathematical Morphology,logy. Though we cannot hope to cover all of it in such a short space, I will describe the main principles of the theory and give a general overview of the major classes of operations, while concentrating on those which made up the focus of this project. The purpose of this review is to provide the m
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Conclusion,ese are related to the central theme of the work, the automatic generation of image processing algorithms, while others are related more to the domain of operators I chose to work with, that of mathematical morphology. Additionally there are some lesser contributions, related to the implementation e
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