Optimal Edge Detection for a Real-Time Head Mounted Display Providing Low Vision Aid

2012 ◽  
Author(s):  
Ryan M. Gibson ◽  
Scott G. McMeekin ◽  
Ali Ahmadinia ◽  
Niall C. Strang ◽  
Gordon Morison
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Low Vision ◽  
Head Mounted Display

Real-time Accurate Deep Learning-based Edge Detection for 3D Pantograph Pose Status Inspection

2022 ◽  
pp. 1-1
Author(s):  
Dong Li ◽  
Xiao Pan ◽  
Zhenzhou Fu ◽  
Luonan Chang ◽  
Guangjun Zhang
Keyword(s):  
Deep Learning ◽  
Edge Detection ◽  
Real Time

scholarly journals SURVEY ON DISTRIBUTED CANNY EDGE DETECTOR WITH FPGA

2015 ◽  
Vol 3 (3) ◽  
pp. 51-61
Author(s):  
Poonam S. Deokar ◽  
Anagha P. Khedkar
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Large Scale ◽  
Attractive Alternative ◽  
Edge Detector ◽  
Canny Edge Detection ◽  
Canny Edge Detector ◽  
Canny Edge ◽  
Canny Algorithm ◽  
Real Time Applications

The Edge can be defined as discontinuities in image intensity from one pixel to another. Modem image processing applications demonstrate an increasing demand for computational power and memories space. Typically, edge detection algorithms are implemented using software. With advances in Very Large Scale Integration (VLSI) technology, their hardware implementation has become an attractive alternative, especially for real-time applications. The Canny algorithm computes the higher and lower thresholds for edge detection based on the entire image statistics, which prevents the processing of blocks independent of each other. Direct implementation of the canny algorithm has high latency and cannot be employed in real-time applications. To overcome these, an adaptive threshold selection algorithm may be used, which computes the high and low threshold for each block based on the type of block and the local distribution of pixel gradients in the block. Distributed Canny Edge Detection using FPGA reduces the latency significantly; also this allows the canny edge detector to be pipelined very easily. The canny edge detection technique is discussed in this paper.

FPGA Implementation of Hardware Accelerator for Real-time Video Image Edge Detection

2021 ◽  
Author(s):  
Xiangxiang Wei ◽  
Gao-Ming Du ◽  
Xiaolei Wang ◽  
Hongfang Cao ◽  
Shijie Hu ◽  
...  
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Fpga Implementation ◽  
Video Image ◽  
Hardware Accelerator ◽  
Image Edge Detection ◽  
Image Edge
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