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Gradient Fusion Operators for Vector-Valued Image ...
Springer
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Springer
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由 C Lopez-Molina 著作2018被引用 1 次 — Our goal is to produce an interpretable gradient map from the partial derivatives of a vector-valued image; that is, from the pixelwise analysis ...
Gradient Fusion Operators for Vector-Valued Image ...
ResearchGate
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2024年11月21日 — This work analyzes the role of first-order differentiation in vector-valued images; specifically, we explore a novel operator to produce a 2D ...
Gradient Fusion Operators for Vector-Valued Image Processing
Universidad Complutense de Madrid
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Universidad Complutense de Madrid
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This work analyzes the role of first-order differentiation in vector-valued images; specifically, we explore a novel operator to produce a 2D vector from a ...
Gradient fusion operators for vector-valued image processing
Universidad Complutense de Madrid
https://produccioncientifica.ucm.es › d...
Universidad Complutense de Madrid
https://produccioncientifica.ucm.es › d...
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Gradient fusion operators for vector-valued image processing. Lopez-Molina, C. Montero, J. Bustince, H. De Baets, B. Book Series: Advances in Intelligent ...
Gradient-domain image processing
Carnegie Mellon Computer Graphics
http://graphics.cs.cmu.edu › lectures › lecture9
Carnegie Mellon Computer Graphics
http://graphics.cs.cmu.edu › lectures › lecture9
PDF
Curl: vector operator showing the rate of rotation of a vector field. Divergence: vector operator showing the isotropy of a vector field. I. I. Curl.
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Vectorial Features in Pyramidal Image Processing
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Springer
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Visual Features—From Early Concepts to Modern Computer Vision. Chapter © 2013. Gradient Fusion Operators for Vector-Valued Image Processing. Chapter © 2018 ...
Gradient vector flow
Wikipedia
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It is widely used in image analysis and computer vision applications for object tracking, shape recognition, segmentation, and edge detection.
(PDF) Vector-Valued Image Processing by Parallel Level ...
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2024年12月4日 — We propose a new notion of treating vector-valued images which is based on the angle between the spatial gradients of their channels. Through ...
Understanding Differential Operators and Gradients in ...
Medium
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Medium
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2024年11月23日 — Differential operators play a crucial role in image processing, especially in edge detection and gradient computation.
Self-adapting weighted operators for multiscale gradient ...
ScienceDirect.com
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ScienceDirect.com
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由 C Lopez-Molina 著作2018被引用 22 次 — We study the problem of vector fusion in the context of image gradient fusion. •. We present two classes of weighted operators for multiscale gradient fusion.