Improved noise removal algorithm implementation in FPGA for the breast cancer detection
B. Senthilkumar, Govindaswamy Umamaheswari · 2012
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.