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Bildverarbeitung, 2011 Vor dem Hintergrund der fraktalen Geometrie wird in diesem Kapitel das scale space filtering erlautert. Dabei wird eine Oberflache in unterschiedlichen „ Vergroserungen“ betrachtet und untersucht, ob dabei sich wiederholende Strukturen auftreten. Als praktische Anwendung hat diese Technik gute Ergebnisse bei der Qualitatskontrolle von Oberflachen, z.B.
Alfred Nischwitz +3 more
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International Joint Conference on Artificial Intelligence, 1987
The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of signals. A fundamental problem in computing such descriptions is scale: a derivative must be taken over some neighborhood, but there is seldom a principled basis for choosing its size.
A. Witkin
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The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of signals. A fundamental problem in computing such descriptions is scale: a derivative must be taken over some neighborhood, but there is seldom a principled basis for choosing its size.
A. Witkin
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Scale-Space Flow for End-to-End Optimized Video Compression
Computer Vision and Pattern Recognition, 2020Despite considerable progress on end-to-end optimized deep networks for image compression, video coding remains a challenging task. Recently proposed methods for learned video compression use optical flow and bilinear warping for motion compensation and ...
E. Agustsson +5 more
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Gaussian Scale-Space Enhanced Local Contrast Measure for Small Infrared Target Detection
IEEE Geoscience and Remote Sensing Letters, 2020Robust small-target detection plays an important role in the infrared (IR) search and track system, but it is still a challenge to detect small IR target under complex background. In this letter, an effective method inspired by the scale-space theory and
Xuewei Guan +3 more
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Image and Vision Computing, 1994
A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a particular type of metric transform preserving the intrinsic properties of the spatial domain. The existence of such a transformation defines an equivalence class.
Florack, Luc +4 more
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A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a particular type of metric transform preserving the intrinsic properties of the spatial domain. The existence of such a transformation defines an equivalence class.
Florack, Luc +4 more
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Russian Mathematical Surveys, 1966
CONTENTSIntroduction § 1. Scales of Banach spaces § 2. Normal embeddings of spaces and of their duals § 3. Normal scale of spaces. Related spaces § 4. Interpolation properties. Minimal and maximal scales § 5. The Holder scale § 6. The Marcinkiewicz scale § 7. Analytic scales § 8. Spaces of means § 9. Hilbert scalesAddendum: Yu. I. Petunin. A non-linear
Kreĭn, S. G., Petunin, Yu. I.
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CONTENTSIntroduction § 1. Scales of Banach spaces § 2. Normal embeddings of spaces and of their duals § 3. Normal scale of spaces. Related spaces § 4. Interpolation properties. Minimal and maximal scales § 5. The Holder scale § 6. The Marcinkiewicz scale § 7. Analytic scales § 8. Spaces of means § 9. Hilbert scalesAddendum: Yu. I. Petunin. A non-linear
Kreĭn, S. G., Petunin, Yu. I.
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Pseudo-Linear Scale-Space Theory
International Journal of Computer Vision, 1999It has been observed that linear, Gaussian scale-space, and nonlinear, morphological erosion and dilation scale-spaces generated by a quadratic structuring function have a lot in common. Indeed, far-reaching analogies have been reported, which seems to suggest the existence of an underlying isomorphism. However, an actual mapping appears to be missing.
Florack, L.M.J., Maas, R., Niessen, W.J.
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Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 1997
Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. The author presents a nonlinear type of smoother related to mathematical morphology which meets (modified) 'scale-space axioms' and also generates a 'scale-space'.
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Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. The author presents a nonlinear type of smoother related to mathematical morphology which meets (modified) 'scale-space axioms' and also generates a 'scale-space'.
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A Dynamic Scale–Space Paradigm
Journal of Mathematical Imaging and Vision, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salden, A.H. +2 more
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From Gaussian scale-space to B-spline scale-space
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999The Gaussian kernel has long been used in the classical multiscale analysis. The purpose of the paper is to propose the uniform B-spline as an alternative for the visual modeling. A general framework for various scale-space representations is formulated using the B-spline approach.
Wang, Yu-Ping, Lee, S.L.
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