A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A real-time edge detector: algorithm and VLSI architecture
Real-Time Imaging - Special issue on special-purpose architectures for real-time imaging, part 2
An FPGA Architecture for High Speed Edge and Corner Detection
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Efficient Canny Edge Detection Using a GPU
ICNC '10 Proceedings of the 2010 First International Conference on Networking and Computing
Image Processing in Dynamic Reconfigurable Platform
ICM '11 Proceedings of the 2011 International Conference of Information Technology, Computer Engineering and Management Sciences - Volume 03
Local threshold and Boolean function based edge detection
IEEE Transactions on Consumer Electronics
Accelerated image processing on FPGAs
IEEE Transactions on Image Processing
Thresholding in edge detection: a statistical approach
IEEE Transactions on Image Processing
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Edge detection is a fundamental and important operation in image processing. In this paper, we propose a VLSI architecture for detecting edges from real time monochrome video sequences. We have adopted a local threshold and global variance based method to extract initial edge map and then different edge orientations have been applied to extract true edge points. The global variance is selected as the mean of local variances thus eliminating user intervention for different scenes. Finally, an edge connection operation is done to link the closely separated discrete edge paths. Block RAM based architecture is used to implement the scheme in XILINX VIRTEX IV FPGA. A real time good quality edge extraction is achieved with scene adaptability and low hardware resource utilization.