Line Detection and Texture Characterization of Network Patterns

This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher linear discriminant analysis; line closure and thinning is provided by morphological masking and line luminance profile fitting provides width estimation. Detection results on dermatological images are reported and discussed.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Costantino Grana, Giovanni Pellacani, Rita Cucchiara, Stefania Seidenari
• Keywords: Computer Vision, Gaussian Derivative Kernels, ICPR 2006, Line Luminance Profile, Provides Width Estimation