Title :
Improved noise removal algorithm implementation in FPGA for the breast cancer detection
Author :
Senthilkumar, B. ; Umamaheswari, G.
Author_Institution :
Dept. of Electron. & Commun. Eng., Tamilnadu Coll. of Eng., Coimbatore, India
Abstract :
In medical image processing, noise removal is the challenging task. Removal of noise using the existing methods like Median Filter (MF), Center Weighted Median Filter (CWMF), Rank Condition Rank Selection Filter (RCRSF) and SMF Selective Median Filter (SMF) provides satisfactory results. In this paper, we have made improvements in wavelet shrinkage (WSRK) by providing the adaptive thresholding concept and called as Modified WRSK (MWRSK). Mean square error (MSE) and mean absolute error (MAE) has been calculated and the performance are compared. The performance of MWRSK is better than the other methods and it is also implemented in field programmable gate array (FPGA). We found this method works good for the noise removal in mammograms for the detection of breast cancer. Furthermore, the method has been tested for the sample image mdb002 taken from mammographic image analysis society (MIAS) and the results found are good.
Keywords :
cancer; field programmable gate arrays; image denoising; image segmentation; image sensors; mammography; mean square error methods; median filters; medical image processing; wavelet transforms; CWMF; FPGA; MAE; MIAS; MSE; MWRSK; RCRSF; SMF; adaptive thresholding concept; breast cancer detection; center weighted median filter; field programmable gate array; improved noise removal algorithm; mammographic image analysis society; mean absolute error; mean square error; medical image processing; modified wavelet shrinkage; rank condition rank selection filter; selective median filter; FPGA; Noise removal; breast cancer; filter;
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
DOI :
10.1109/ICCIC.2012.6510298
