
A. Kermani et al. / J. Biomedical Science and Engineering 3 (2010) 1078-1084
Copyright © 2010 SciRes. JBiSE
1084
Table 1. Execution time of simulation for Breast lesion.
LHRI DWT IWT Total
Algorithm
LHRI
Algorithm 1.054 sec - - 1.054 sec
LHRI +
Wavelet 0.127 sec 0.156 sec
0.016 sec
0.297 sec
Decrement
percent 87.95% - - 71.82%
Table 2. Execution time of simulation for carotid.
LHRI DWT IWT Total
Algorithm
LHRI
Algorithm 6.227 sec
- - 6.227 sec
LHRI +
Wavelet 0.549 sec
0.235 sec
0.078 sec
0.862 sec
Decrement
percent 91.18% - - 86.15%
We can see that the modified method by Wavelet seg-
mented images with details and reduced implementation
time about 90% of primary algorithm.
6. CONCLUSIONS
LHRI method segments envelope ultrasound images
effectively. However, also its computation load is prac-
tically high. We show that DWT can decrease execution
time without any change in segmentation result. Conse-
quently, the required memory for algorithm implementa-
tion, is reduced. To obtain more accurate results while
decreasing the computation load, we will use the modi-
fied wavelet and more advanced morphological proc
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