DocumentCode
713078
Title
Optimized approach of sobel edge detection technique using Xilinx system generator
Author
Mohapatra, Sumant Kumar ; Swain, Biswa Ranjan ; Mahapatra, Sushil Kumar
Author_Institution
Dept. of Electron. & Telecommun., Trident Acad. of Technol., Bhubaneswar, India
fYear
2015
fDate
26-27 Feb. 2015
Firstpage
338
Lastpage
341
Abstract
In this paper a new method is utilized in which sobel X-Y edge detection combines with Gaussian filter using histogram stretching method. In recent days, the edge detection techniques come to the picture with a very important utilization in medical industry to detect tumors and fractures in the human body[1],[2],[3]. So In this paper we firstly propose a new optimized edge detection technique which is a better edge detection technique so far in our knowledge in terms of improved mean square error(MSE) and picture signal to noise ratio (PSNR) using very limited resources used in the SPARTAN 3A DSP 3400A development platform FPGA kit.
Keywords
digital signal processing chips; edge detection; field programmable gate arrays; mean square error methods; medical image processing; tumours; Gaussian filter; MSE; PSNR; SPARTAN 3A DSP 3400A development platform FPGA kit; Xilinx system generator; fractures; histogram stretching method; human body; mean square error; medical industry; optimized approach; picture signal to noise ratio; sobel X-Y edge detection; sobel edge detection technique; tumors; Communications technology; Digital signal processing; Field programmable gate arrays; Generators; Hardware; Image edge detection; Mathematical model; Edge Detection; Optimised sobel operator; SPARTAN 3A DSP 3400A FPGA Kit; White Gaussian noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-7224-1
Type
conf
DOI
10.1109/ECS.2015.7124919
Filename
7124919
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