Scan line array processors for image computation
ISCA '86 Proceedings of the 13th annual international symposium on Computer architecture
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Efficient Image Processing Algorithms on the Scan Line Array Processor
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast Efficient Parallel Hough Transform Algorithm on LARPBS
The Journal of Supercomputing
Exploiting inherent parallelisms for accelerating linear Hough transform
IEEE Transactions on Image Processing
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Resource-efficient FPGA architecture and implementation of hough transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.14 |
A parallel algorithm for a line-finding Hough transform that runs on a linearly connected, SIMD (single-instruction, multiple-data-stream) vector of processors is described. The authors show that a high-precision transform, usually considered to be an expensive global operation, can be performed efficiently, in two to three times real time, with only local, communication on a long vector. The algorithm also illustrates a decomposition principle that has wide application in algorithm design for large linear arrays. A review of straight-line Hough transform implementations is also presented.