Stochastic analysis of image acquisition, interpolation and scale-space smoothing
نویسندگان
چکیده
منابع مشابه
Stochastic Analysis of Image Acquisition, Interpolation and Scale-space Smoothing
In the high-level operations of computer vision it is taken for granted that image features have been reliably detected. This paper addresses the problem of feature extraction by scale-space methods. There has been a strong development in scale-space theory and its applications to low-level vision in the last couple of years. Scale-space theory for continuous signals is on a firm theoretical ba...
متن کاملStochastic Analysis of Image Acquisition and Scale-Space Smoothing
1.1 Introduction Low level image processing is often used to detect and localise features such as edges and corners. It is also used to correlate or match small parts of one image with parts in another. Methods for doing this have been developed for some time, However, the stochastic analysis of these algorithms have often been based upon poorly motivated stochastic models. In particular, the e...
متن کاملStochastic analysis of scale-space smoothing
In the high-level operations of computer vision it is taken for granted that image features have been reliably detected. This paper addresses the problem of feature extraction by scale-space methods. This paper is based on two key ideas: to investigate the stochastic properties of scale-space representations and to investigate the interplay between discrete and continuous images. These investig...
متن کاملScale Space Smoothing, Image Feature Extraction and Bessel Filters
The Green function of Mumford-Shah functional in the absence of discontinuities is known to be a modified Bessel function of the second kind and zero degree. Such a Bessel function is regularized here and used as a filter for feature extraction. It is demonstrated in this paper that a Bessel filter does not follow the scale space smoothing property of bounded linear filters such as Gaussian fil...
متن کاملImage Segmentation by Analysis of Scale-Space
We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is the tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.
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ژورنال
عنوان ژورنال: Advances in Applied Probability
سال: 1999
ISSN: 0001-8678,1475-6064
DOI: 10.1017/s0001867800009502