  Radon transform is a type of transform which is used in image processing to
transfer the image into intercept-slope 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 compute-intensive 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.
