Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …

Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …

Combinatorial graph cut algorithms have been successfully applied to a wide range of
problems in vision and graphics. This paper focusses on possibly the simplest application of …

This paper proposes a new algorithm for automatic crack detection from 2D pavement
images. It strongly relies on the localization of minimal paths within each image, a path …

The active contour/snake model is one of the most successful variational models in image
segmentation. It consists of evolving a contour in images toward the boundaries of objects …

We present a new, interactive tool calledIntelligent Scissorswhich we use for image
segmentation. Fully automated segmentation is an unsolved problem, while manual tracing …

Geodesic active contours and graph cuts are two standard image segmentation techniques.
We introduce a new segmentation method combining some of their benefits. Our main …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …

In multidimensional image analysis, there are, and will continue to be, situations wherein
automatic image segmentation methods fail, calling for considerable user assistance in the …

Efficient path-planning algorithms are a crucial issue for modern autonomous underwater
vehicles. Classical path-planning algorithms in artificial intelligence are not designed to deal …