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 is a very important preprocessing step for many image analysis operations, such
as optical character recognition and fingerprint recognition. The main drawbacks of …

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 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 presents a parallel thinning algorithm which processes binary images and
produces the image skeletons which are either regions size independent (noise non …

Thinning of binary image processing is a fundamental and important technology. Most of the
existing image thinning algorithms are based on processing the same picture multiple times …

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 …

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 …

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 …

Binary images thinning has wide applications in image processing, machine vision, and
pattern recognition systems. A new method of shape-adaptive thinning algorithm and its …