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 advantages
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.
