Title :
Shape based classification of breast tumors using fractal analysis
Author :
Abdaheer, M. Syed ; Khan, Ekram
Author_Institution :
Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India
Abstract :
In this paper we adopt FFT based fractal analysis method. With the help FFT based method breast tumors (benign and malignant) are classified based on their shapes. In general malignant tumors contour have rough and irregular shapes whereas benign contour have smooth and macrolobulated shapes. In this paper we present a fractal based Fourier transform method to classify the contours. The log -log magnitude frequency response plot and rose plot (for average radial distance and angle variations in terms of average slops and slope of intercept) are used in this study in order to extract the features for classifications.
Keywords :
fast Fourier transforms; feature extraction; image classification; mammography; medical image processing; tumours; breast tumors; contour shape analysis; digital mammography; fast Fourier transforms; feature extraction; fractal analysis; image classification; log-log magnitude frequency response plot; rose plot; Benign tumors; Breast neoplasms; Breast tumors; Cancer; Fractals; Geometry; Image analysis; Lesions; Malignant tumors; Shape; Average slope; Digital Mammogram Image; Fast Fourier transform; Rose plot; contour shape analysis; phase histogram;
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
Conference_Location :
Aligarh
Print_ISBN :
978-1-4244-3602-6
Electronic_ISBN :
978-1-4244-3604-0
DOI :
10.1109/MSPCT.2009.5164228