Foliage Recognition Based on Local Edge Information

In many real-world object recognition applications, texture plays a very important role. Much research has gone into texture-based segmentation methods, which focus on finding the boundaries between uniformly textured regions. These methods can be adapted to recognize a specific type of texture. However, many naturally occuring objects have a texture with a high degree of irregularity that complicates their recognition, causing generic algorithms to fail. This paper presents a method to recognize one specific type of natural texture: foliage. Starting from a proven technique to extract texture feature information, a recognition model is constructed that incorporates prior knowledge about this particular texture. The algorithm detects 95% of the foliage areas in real-world video data, with less than 8% false positives.

• Type: Conference
• Year: 2008
• Where: ACIVS
• Authors: David Van Hamme, Peter Veelaert, Wilfried Philips, Kristof Teelen, Niels Stevens, Bart Vermeersch
• Keywords: ACIVS 2008, Computer Vision, Real-world Object Recognition, Specific Type, Texture Feature Information