In this paper, a wavelet-based method is proposed to extract the tumor regi
on from a color medical image. In the past, the diagnosis of tumors usually
relied upon the tissue section stained by methylene blue. However, traditi
onal approaches have relied primarily on manual processes and erroneous ass
essment may arise from subjective judgement and eye measurement. Instead of
the previous method, we propose an improved radial search technique to inc
rease the accuracy of the extraction of the tumor border. Experimental resu
lts show that the proposed method is fast and can extract the tumor region
successfully. Moreover, the results of this research will be helpful in the
development of a computer-aided image analysis system that will automate v
isual feature extraction for tumor evaluation. (C) 2000 Elsevier Science Lt
d. All rights reserved.