In this paper a new algorithm is proposed for skeletonizing binary digital images. The
algorithm does not employ the conventional pixel-or non-pixel-based techniques. Instead, it …

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 …

Thinning is an important process in several applications of computer vision. It aims to find
the onepixel midline of the pattern in binary image. In spite of different thinning methods that …

The thinning algorithms are used for creation the skeleton of an object. The thinned image
consists of the lines one pixel wide. The thinning or skeletonization reduces the image …

In this paper, a generic approach for the analysis and design of parallel thinning algorithms
is presented. The procedures for designing 4-subcycle/iteration, 2-subcycle/iteration, and 1 …

The skeleton of a digital figure can often be regarded as a convenient alternative to the
figure itself. It is useful both to diminish drastically the amount of data to be handled, and to …

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 …

It is well known that many proposed parallel thinning algorithms cannot satisfy all major
thinning requirements. In this paper we propose a new parallel thinning algorithm which can …

This paper deals with analyzing and comparing several key thinning algorithms in terms of
various different methodologies. From these analyses and comparisons, a new sequential …