Title :
Detection of skin tumor boundaries in color images
Author :
Ercal, F. ; Moganti, M. ; Stoecker, W.V. ; Moss, R.H.
Author_Institution :
Dept. of Comput. Sci., Missouri Univ., Rolla, MO, USA
fDate :
9/1/1993 12:00:00 AM
Abstract :
A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given
Keywords :
medical image processing; photographic applications; skin; 35 mm colour photographic slides; adaptive color metric; color images; coordinate transformation; medical diagnostic technique; segmented image; skin tumor boundaries detection; Cancer detection; Color; Data mining; Histograms; Humans; Image edge detection; Image segmentation; Object detection; Skin neoplasms; Working environment noise;
Journal_Title :
Medical Imaging, IEEE Transactions on