Lidayová, K. 2017. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1496. 79 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9874-0. Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-...

Skeleton is a frequently applied shape feature to represent the general form of an object. Thinning is an iterative object reduction technique for producing a reasonable approximation to the skeleton in a topology preserving way. This paper describes a sequential 3D thinning algorithm for extracting medial lines of objects in (26, 6) pictures. Our algorithm has been successfully applied in medi...

Image processing methods for automated concrete crack detection are often challenged by binary noise. Noise removal decrease the false positive pixels of results, at cost a reduction in true positives. This paper proposes novel method noise and segmentation noisy images. The applies an area threshold before reducing pixel groups image to skeleton. Each skeleton is connected its nearest neighbou...

We propose a novel framework for a hybrid 2D-3D dynamic human model with which robust matching and tracking of a 3D skeleton model of a human body among multiple views can be performed. We describe a method that measures the image ambiguity at each view. The 3D skeleton model and the correspondence between the model and its 2D images are learnt using hierarchical principal component analysis. T...

We propose a novel framework for a hybrid 2D-3D dynamic human model with which robust matching and tracking of a 3D skeleton model of a human body among multiple views can be performed. We describe a method that measures the image ambiguity at each view. The 3D skeleton model and the correspondence between the model and its 2D images are learnt using hierarchical principal component analysis. T...

CURSIVE WORDS TAL STEINHERZ, NATHAN INTRATOR Tel-Aviv University Ramat Aviv 69978, Israel (talstz,nin)@math.tau.ac.il EHUD RIVLIN Department of Computer Science Technion Haifa 32000, Israel [email protected] We present a novel approach for nding a pseudo-skeleton of a cursive word's image. This pseudo-skeleton preserves all the necessary components of a cursive word such as: loops, curves...

Reconstruction of binary images from their projections is one of the main tasks in many image processing areas, therefore determining the computational complexity of those problems is essential. The reconstruction complexity is highly dependent on the requirements of the image. In this paper, we will show that the reconstruction is NP-complete if the horizontal and vertical projections and the ...

A skeleton is a useful shape descriptor that encodes both boundary and region information for a given object. A widely used approach for skeletonization is to use a distance transform. Although many skeletonization algorithms have been developed, most methods involve the computation of high order derivatives and the evaluation of complex expressions. In this paper, we propose an algorithm that ...

This paper describes a comparative study between an Artificial Neural Network (ANN) and a geometric technique to detect for biometric applications,the bifurcation points of blood vessels in the retinal fundus. The first step is an image preprocessing phase to extract retina blood vessels. The contrast of the blood vessels from the retinal image background is enhanced in order to extract the blo...