• Chandrashekar N.S.
• K.R. Nataraj

ABSTRACT: In the Digital Image processing, discovering the boundaries of the objects in the image is one of the important stage for computer vision applications. There are different kinds of Edge Detection (ED) techniques available such as Canny, Laplacian, Log Operator, Sobel etc. From the analysis, It is found that Canny Edge Detector (CED) provides better results in comparison with other edge detectors. In this paper, architecture for CED has been introduced, which is named as DBRAM-CED. In order to improve the ED performance, Dual port Block Random Access Memory (DBRAM) is used. The hardware analysis of the performance parameters such as LUT, flip flop, slices and frequency of FPGA Virtex 6 are measured.

KEYWORDS: Lung Image, Dual port Block Random Access Memory (DBRAM), Canny Edge Detection (CED)

"LUNG CANCER DETECTION USING DBRAM-CED METHOD ON FPGA VIRTEX 6 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.769-776, January-2019, Available :http://www.jetir.org/papers/JETIR1901A98.pdf

"LUNG CANCER DETECTION USING DBRAM-CED METHOD ON FPGA VIRTEX 6 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp769-776, January-2019, Available at : http://www.jetir.org/papers/JETIR1901A98.pdf