Title :
Application of adaptive filters in noise reduction in mammography images
Author :
Ramezanpour, Hamidreza ; Barati, Navid ; Darmani, Ghazaleh ; Farrokhbakht, Hosein
Author_Institution :
Dept. of Nucl. Eng. & Phys., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper, we introduce an effective scheme for reducing noise level in mammography images by adaptive filters. The scheme proposed includes finding the best weight vector with least-mean-square (LMS) algorithm and then apply it to images. The effectiveness and less computational time required of the algorithm, are the main advantages which are not seen in mammography image enhancement literature together yet. Finally one example is brought to show the effectiveness of proposed scheme.
Keywords :
adaptive filters; biomedical optical imaging; cancer; image denoising; least mean squares methods; mammography; medical image processing; adaptive filters; cancer mass; image enhancement; least-mean-square algorithm; mammography images; noise reduction; weight vector; Breast; Least squares approximation; Noise; Noise measurement; Optical filters; Optical imaging; adaptive filters; least-mean-square; mammogeraphy; noise canceling;
Conference_Titel :
Systems in Medicine and Biology (ICSMB), 2010 International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-61284-039-0
DOI :
10.1109/ICSMB.2010.5735417
