Image rotation without scaling on spiral architecture

Abstract

Spiral Architecture is a relatively new and powerful approach to general purpose machine vision system. On this novel architecture, image rotation is achieved by Spiral Multiplication. However, the general image rotation on Spiral Architecture has two effects. One is scaling segmentation and the other is rotation. This paper presents an algorithm to achieve image rotation without scaling on Spiral Architecture, which improves the Spiral Architecture’s usage in image processing.