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Titlebook: Signal Processing for Computer Vision; Gösta H. Granlund,Hans Knutsson Book 1995 Springer Science+Business Media Dordrecht 1995 Adaptive F

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楼主: 戏弄
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Fourier Transforms,is familiar with the one-dimensional Fourier transform, both the continuous version and the discrete Fourier transform, as well as some mathematical constructions such as generalized functions or distributions.
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Low Level Operations, are elements in regular arrays. Then the program merely needs to take the position of the element and multiply the .-coordinate by the row length, and to add the .-coordinate and the start address of the array. For images or data arrays with a fixed size, this is a convenient representation.
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Classification and Response Generation,n X-ray image. Sometimes the input to the system is used to improve a robot’s knowledge and model of the world without any immediate external response being generated. Still, the conceptual purpose of a computer vision system is to produce responses, or at least to represent visual data in such a form that a correct decision is made.
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Introduction and Overview,Computer vision has progressed considerably over the years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences.
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Orientation and Velocity,This chapter presents a unified approach and a theory for estimation of local orientation and velocity in multi-dimensional spatial or spatio-temporal signals. The presentation is intended to serve as a basis for the design of efficient multidimensional signal analysis algorithms.
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