Paper Info
Title
A Sequential Thinning Algorithm For Multi-Dimensional Binary Patterns.
Abstract
Thinning is the removal of contour pixels/points of connected components in an image to produce their skeleton with retained connectivity and structural properties. The output requirements of a thinning procedure often vary with application. This paper proposes a sequential algorithm that is very easy to understand and modify based on application to perform the thinning of multi-dimensional binary patterns. The algorithm was tested on 2D and 3D patterns and showed very good results. Moreover, comparisons were also made with two of the state-of-the-art methods used for 2D patterns. The results obtained prove the validity of the procedure.
Year
Venue
Field
2017
arXiv: Computer Vision and Pattern Recognition
Multi dimensional,Pattern recognition,Thinning,Computer science,Connected component,Artificial intelligence,Pixel,Sequential algorithm,Binary number,Thinning algorithm
DocType
Volume
Citations 
Journal
abs/1710.03025
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Himanshu Jain101.01
Archana Praveen Kumar200.34