Abstract
This paper shows the possibility to improve the accuracy of medical diagnosis on contaminated radiographic image with salt and pepper noise using FPGA-based filters. Investigation is carried out using filters described widely in the literature, such as Blur, Smooth and Gaussian linear filters and nonlinear median filter implemented on FPGA in an attempt to eliminate the noise. Implementations are checked on a development board with Spartan 6slx100fgg484-3 FPGA and a low-power optimized version Spartan 6slx100lfgg484-1l. The results are verified through the filtered images, resources consumption and the lowest response time. The implementation methodology uses model-based engineering involving MATLAB/Simulink and System Generator software using the XSGlmgLib library to perform co-simulation. The results show that the FPGA implementation of the median filter has a good tradeoff between resource consumption and noise removal efficiency.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
