Author:
Chandrashekar ,Patil Rajashekhargouda C.
Reference17 articles.
1. Sangeetha, D., and P. Deepa, “An Efficient Hardware Implementation of Canny Edge Detection Algorithm.” 29th International Conference on VLSI Design and 2016 15th International Conference on Embedded Systems (VLSID), 2016 29th International Conference on. IEEE, 2016, 457–462.
2. Shokhan, M. H., “An efficient approach for improving canny edge detection algorithm.” International Journal of Advances in Engineering & Technology 7.1, 2014, 59.
3. Ramya, G., S. Bhuvaneshwari, and Faculty Student, “FPGA Based Implementation of Edge and Corner Detection in MRI Brain Tumor Image.” International Journal of Engineering Science and Computing, 2015, 1046–1051.
4. Nikolic, Marina, Eva Tuba, and Milan Tuba, “Edge detection in medical ultrasound images using adjusted Canny edge detection algorithm.” Telecommunications Forum (TELFOR), 24th. IEEE, 2016.
5. Ngo, H., Shafer, J., Ives, R., Rakvic, R. and Broussard, R., 2012, July. Real time iris segmentation on FPGA. In Application-Specific Systems, Architectures and Processors (ASAP), 23rd International Conference on IEEE, pp. 1–7.