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The Multiscale Top-Hat Tensor Enables Specific Enhancement of Curvilinear Structures in 2D and 3D Images

Quantification and modelling of curvilinear structures in 2D and 3D images is a common challenge in a wide range of biomedical applications. Image enhancement is a crucial pre-processing step for curvilinear structure quantification. Many of the …

The multiscale bowler-hat transform for blood vessel enhancement in retinal images

Enhancement, followed by segmentation, quantification and modelling of blood vessels in retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper, we introduce the bowler-hat transform method a new approach based …

Interactive GPU Active Contours for Segmenting Inhomogenous Objects

We present a segmentation software package primarily targeting medical and biological applications, with a high level of visual feedback and several usability enhancements over existing packages. Specifically, we provide a substantially faster GPU …

Extracting 3D Parametric Curves from 2D Images of Helical Objects

Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Reconstructing a 3D helical curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as …

Blobs and curves: object-based colocalisation for plant cells

Blobs and curves occur everywhere in plant bioimaging: from signals of fluorescence-labelled proteins, through cytoskeletal structures, nuclei staining and cell extensions such as root hairs. Here we look at the problem of colocalisation of blobs …