Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture

Real images are often corrupted by noise from various sources. Bilateral filtering is a nonlinear filter that considers intensity variations as well as spatial closeness in the noise smoothing process. It has been demonstrated to have a better edge-preserving quality than linear filters in certain applications. This paper presents the new edge detection algorithm with the application of a bilateral filter in Gaussian form in Spiral Architecture. Spiral Architecture is a relatively new concept in the area of image representation and offers distinctive advantages. The approach to edge detection is multi-scale. Edge maps of the original image and its successively smoothed versions are used to produce the final edge map. Key Words: bilateral filtering, Spiral Architecture, edge detection, multi-scale.

• Type: Conference
• Year: 2003
• Where: VIP
• Authors: Qimei Hu, Xiangjian He, Jun Zhou
• Keywords: Bilateral Filtering, Edge Detection, Information Technology, Spiral Architecture, VIP 2003