Thinning is one of the most important techniques in the field of image processing. It is
applied to erode the image of an object layer-by-layer until a skeleton is left. Several …

Thinning plays a crucial role in image analysis and pattern recognition applications. It is one
of the most frequently used pre-processing methods to analyze different types of images …

This paper aims at three aspects closely related to each other: first, it presents the state of
the art in the area of thinning methodologies, by giving descriptions of general ideas of the …

A new approach, called contour generating (CG) is proposed to reduce drastically the
running time for the parallel thinning algorithms on a sequential computer by providing an …

Thinning algorithms have been widely applied in many applications such as computer
graphics, computer vision and medical imaging. The performances of thinning algorithms …

A comparative evaluation of some fast parallel thinning algorithms for elongated shapes on
an overlapped shared memory multiprocessor architecture (OSMMA) is presented. The …

Thinning algorithms are applied in image processing to compute a skeleton of an image. In
this paper a new thinning method is presented which differs in its approach from other …

A perfectly parallel thinning algorithm (PPTA) is proposed. It can generate perfect skeletons,
which consist of end points, break points, and hole points only. Experimental results show …

The K3M thinning algorithm is a general method for image data reduction by skeletonization.
It had proved its feasibility in most cases as a reliable and robust solution in typical …

Thinning is a frequently applied skeletonization technique: border points that satisfy certain
topological and geometric constraints are deleted in iteration steps. Sequential thinning …