This paper describes an improved thinning algorithm for binary images. We improve
thinning algorithm from the fundamental properties such as connectivity, onepixel width …

Thinning on binary images is an iterative layer by layer erosion until only the “skeletons” of
the objects are left. This paper presents an efficient parallel 3D surface–thinning algorithm. A …

A new thinning algorithm for gray-scale images based on the relaxation technique is
proposed. Thinning is treated as a process of assigning each picture point to either a …

Thinning is a widely used approach for skeletonization. Sequential thinning algorithms use
contour tracking: they scan border points and remove the actual one if it is not designated a …

Thinning is an iterative layer by layer erosion for extracting skeleton. This paper presents an
efficient parallel 3D thinning algorithm which produces medial surfaces. A three–subiteration …

This paper describes new parallel thinning algorithm for binary images. The use of 3X3
mask for pixel deletability in parallel and pixel deletion criteria needed to preserve the …

Thinning is a process of reducing the width of an image to just a single pixel. The resulting
thinned pattern is useful for topological analysis and classification for the shape of patterns …

Thinning is a very important preprocessing step for the analysis and recognition of different
types of images. Thinning is the process of minimizing the width of a line, in an image, from …

Thinning is a process of reducing an object in a digital image to the minimum size necessary
for machine recognition of that object. Efficient and reliable thinning of image patterns is …