DocumentCode
1349757
Title
A fast algorithm for morphological operations with flat structuring element
Author
Lam, Ringo Wai-Kit ; Li, Chi-Kwong
Author_Institution
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Volume
45
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
387
Lastpage
391
Abstract
Flat structuring elements are commonly used in morphological operations. In this paper, a fast algorithm employing the result of previous searching area, which is determined by a domain-selection method, is proposed. It is applicable to structuring elements conforming to a constraint that its one-dimensional (1-D) Euler-Poincare constants, N(1/)(x) and Nsup (1/)(y), at any x- or y-coordinate must be equal to 1. The proposed algorithm is compared with three other methods, namely threshold linear convolution of Kisacanin and Schonfeld (KS), structuring element decomposition of Shih and Mitchell (SM), and fast implementation of Wang and He (WH), in terms of the theoretical expected number of comparisons and experimental computation time. It is found that the proposed algorithm requires less computation time than KS and SM methods for nearly all sizes of square, octagon, and rhombus structuring elements, except for the size of 3×3. In addition, it is also more time efficient than the WH method, except for the square structuring element
Keywords
convolution; image processing; mathematical morphology; signal representation; speech processing; 1D Euler-Poincare constants; computation time; domain-selection method; element decomposition; flat structuring element; morphological operations; octagon elements; rhombus elements; square elements; threshold linear convolution; Convolution; Helium; Image processing; Morphological operations; Morphology; Samarium; Signal processing algorithms; Signal representations; Smoothing methods; Speech processing;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.664246
Filename
664246
Link To Document