S.Jagadeesh Babu

Work place: Department of ECE,Dhanalakshmi College of Engineering,Chennai,India

E-mail: jagadeesh0406babu@gmail.com


Research Interests: Image Processing


Jagadeesh Babu.S is currently working Assistant Professor, Department of ECE, Dhanalakshmi College of Engineering, Chennai. He has completed his Bachelor Degree in Electronics and Communication (2006), Masters in VLSI Design (2010).He has attended many Conferences in National and International Level. His research areas are VLSI Testing, Low Power, Low Power Testing and image processing

Author Articles
Edge Detection System using Pulse Mode Neural Network for Image Enhancement

By S.Jagadeesh Babu P.Karunakaran S.Venkatraman Hameem Shanavas .I T.Kapilachander

DOI: https://doi.org/10.5815/ijigsp.2012.03.07, Pub. Date: 8 Apr. 2012

Edge detection of an image reduces significantly the amount of data and filters out information that may be regarded as less irrelevant. Edge detection is efficient in medical imaging. Pulse mode neural networks are becoming an attractive solution for function approximation based on frequency modulation. Early pulse mode implementation suffers from some network constraints due to weight range limitations. To provide the best edge detection, the basic algorithm is modified to have pulse mode operations for effective hardware implementation. In this project a new pulse mode network architecture using floating point operations is used in the activation function. By using floating point number system for synapse weight value representation, any function can be approximated by the network. The proposed pulse mode MNN is used to detect the edges in images forming a heterogeneous data base. It shows good learning capability. In addition, four edge detection techniques have been compared. The coding is written in verilog and the final result have been simulated using Xilinx ISE simulator.

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