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 …

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 …

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 …

In this paper a new thinning algorithm is presented. It is simple yet robust, and can maintain
the same advantages of other key skeletonization algorithms. In this new algorithm, only a …

Skeletonization" also known as thinning" is an important step in the pre-processing phase in
many of pattern recognition techniques. The output of Skeletonization process is 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 …

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 …

In this paper we presented a novel, general purpose thinning method with emphasis on
symmetry. The proposed algorithm is of iterative character. We achieved better skeleton …

Thinning is a very important preprocessing step for many image analysis operations. The
main drawbacks of traditional thinning algorithms are slow speed and serious deformation …

Thinning or skeletonization is a process for reducing foreground regions in a binary image to
a skeletal remnant that largely preserves the extent and connectivity of the original region …