Highly Accurate Orientation Estimation using Steerable Filters

This paper presents a generalized theoretical framework for designing accurate steerable filters for orientation estimation. We derive necessary properties of orientation estimation filters in their most general form. Based on our framework, we implemented a highly angular-specific filter. Numerical experiments show the enhanced accuracy of our proposed filter as compared with existing filters.

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester
• Keywords: Generalized Theoretical Framework, ICIP 2007, Image Processing, Orientation Estimation, Orientation Estimation filters