A Novel Architecture for Computing Approximate Radon Transform
Abstract
Radon transform is a type of transform which is used in image processing to transfer the image into interceptslope coordinate. Its diagonal properties made it appropriate for some applications which need processes in different degrees. Radon transform computation needs a lot of arithmetic operations which makes it a computeintensive algorithm. In literature an approximate algorithm for computing Radon transform is introduces which reduces the complexity of computations. But this algorithm is complex and need arbitrary accesses to memory. In this paper we proposed an algorithm which accesses to memory sequentially. In the following an architecture is introduced which uses pipeline to reduce the time complexity of algorithm.
 Publication:

arXiv eprints
 Pub Date:
 November 2016
 arXiv:
 arXiv:1701.05083
 Bibcode:
 2017arXiv170105083K
 Keywords:

 Computer Science  Computer Vision and Pattern Recognition