Title :
Fast 2-D Distance Transformations
Author :
Krinidis, Stelios
Author_Institution :
Dept. of Inf. Manage., Technol. Inst. of Kavala, Kavala, Greece
fDate :
4/1/2012 12:00:00 AM
Abstract :
The performance of a number of image processing methods depends on the output quality of a distance transformation (DT) process. Most of the fast DT methodologies are not accurate, whereas other error-free DT algorithms are not very fast. In this paper, a novel, fast, simple, and error-free DT algorithm is presented. By recording the relative x- and y-coordinates of the examined image pixels, an optimal algorithm can be developed to achieve the DT of an image correctly and efficiently in constant time without any iteration. Furthermore, the proposed method is general since it can be used by any kind of distance function, leading to accurate image DTs.
Keywords :
image processing; distance function; error-free DT algorithms; fast 2D distance transformation process; image processing methods; x-coordinates recording; y-coordinate recording; Approximation algorithms; Complexity theory; Computers; Euclidean distance; Image processing; Transforms; Vectors; Distance transformation (DT); Euclidean DT; Euclidean distance; image processing; object representation; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2176343