Image Edge Detection in a Mimic Spiral Architecture

Abstract

Detection of edge points of 3-dimensional physical objects in a 2-dimensional image is one of the main research areas of computer vision. Object contour detection and object recognition rely heavily on edge detection. In this paper, we present an edge detection scheme using Gaussian Multi-resolution Theory based on a mimic Spiral Architecture. The Spiral Architecture has been described in many papers. Although it has many ad-vantages such as powerful computational features in image processing especially in image edge detection, there is no available image capture device yet to support this structure. Hence, we mimic the Spiral Architecture from the existing image structure. This mimic structure inherits all computational features of the Spiral Architecture. The Gaussian Multi-resolution Theory is used to reduce noise and unnecessary details of the image.