Title :
Multifractal spectrum theory used to medical image from CT testing
Author :
Qi, Dawei ; Yu, Lei
Author_Institution :
Coll. of Sci., Northeast Forestry Univ., Harbin
Abstract :
With the development of computer technology, computer medical image has gained a lot of importance in the clinical diagnosis and remedies. Its clinical application has a close link with image processing technology. Moreover, edge detection is one of the most important methods in the processing. A method in medical image edge detection based on multifractal theory was applied in the paper. The Holder exponent of image pixels was computed first, then its multifractal spectrum was estimated and different image pixels were classified, smoothing edge point and singular edge point. Based on multifractal theory, the set of both singular edge points and smoothing edge points is the set of image edge points. Experimental result showed that the method of image processing based on multifractal theory was a more effective.
Keywords :
edge detection; estimation theory; fractals; image classification; medical image processing; smoothing methods; CT testing; Holder exponent; clinical diagnosis; image pixel classification; image processing technology; medical image edge detection; multifractal spectrum estimation; multifractal spectrum theory; multifractal theory; singular edge point smoothing; Biomedical imaging; Clinical diagnosis; Computed tomography; Fractals; Image edge detection; Image processing; Medical diagnostic imaging; Medical tests; Pixel; Smoothing methods; Hölder exponent; Image processing; Multifractal spectrum; Multifractal theory;
Conference_Titel :
Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-2494-8
Electronic_ISBN :
978-1-4244-2495-5
DOI :
10.1109/AIM.2008.4601636