Image Rotation without scaling on Spiral Architecture

Qiang Wu, Xiangjian He, Tom Hintz

Department of Computer Systems

Faculty of Information Technology

University of Technology, Sydney,

PO BOX 123, Broadway Street

Sydney, NSW, 2007


{wuq, sean, hintz}



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.

          Keywords: image rotation, Spiral Architecture, image segmentation, distributed image processing