May 23, 2024 · We propose an approach that represents the uncertainty in the position and size of a blob by a region in a three-dimensional scale space.
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Jul 28, 2023 · We propose an approach that represents the uncertainty in the position and size of a blob by a region in a three-dimensional scale space.
The basic idea is to represent the uncertainty in a blob by a region in scale space, which represents the possible variation in position and size. To obtain ...
This method is able to determine the location and scale of blob-like struc- tures in an arbitrary image. Although the underlying ideas of the Laplacian-of- ...
Jul 28, 2023 · Abstract. We consider the problem of blob detection for uncertain images, such as images that have to be inferred from noisy measurements.
May 23, 2024 · We consider the problem of blob detection for uncertain images, such as images that have to be inferred from noisy measurements.
Uncertainty Quantification for Scale-Space Blob Detection ; 697-717 · Journal of Mathematical Imaging and Vision · 66 · https://doi.org/10.1007/s10851-024-01194-x.
This repository contains the Python code that accompanies the paper Uncertainty Quantification for Scale-Space Blob Detection.
Abstract We consider the problem of blob detection for uncertain images, such as images that have to be inferred from noisy measurements.
We introduce a method for uncertainty-aware blob detection developed in the context of stellar population modelling of integrated-light spectra of stellar ...
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