The assessment of pavement cracks is one of the essential tasks for road maintenance. This
paper presents a novel framework, called ITVCrack, for automated crack extraction based on …

Tensor voting is a computational framework that addresses the problem of perceptual
organisation. It was designed to convey human perception principles into a unified …

Grouping processes, which “organize” a given data by eliminating the irrelevant items and
sorting the rest into groups, each corresponding to a particular object, can provide reliable …

Tensor voting (TV) methods have been developed in a series of papers by Medioni and
coworkers during the last years. The method has been proved efficient for feature extraction …

Although Harris corner point detection is easily to calculate and its selected point distributed
evenly, existing image noises influence the correctness and integrity of corner point …

Recently the tensor voting framework (TVF), proposed by Medioni at al., has proved its
effectiveness in perceptual grouping of arbitrary dimensional data. In the computer vision …

The tensor voting framework (TVF), proposed by Medioni at at, has proved its effectiveness
in perceptual grouping of arbitrary dimensional data. In the computer vision and image …

The completion of fragmented contours is important for several processes of visual
perception. However, the shape of the interpolated curves is not unique but rather varies …

The interdisciplinary field of image sonification aims at the transformation of images to
auditory signals. It brings together researchers from different fields of computer science like …

Edges and structures are a critical part for natural images, which can help to improve the
overall quality of the reconstructed image. In tasks like object removal, image inpainting or …