Texture Classification With High Order Local Pattern Descriptor: Local Derivative Pattern
U. S. N. Raju, Ajay Kumar, Boya Leela Mahesh, B. Eswara Reddy · Global Journal of Computer Science and Technology · 2010
This paper proposes a novel method for texture classification using high-order local pattern descriptor: Local Derivative Pattern (LDP). LDP is used to encode directional pattern features based on local derivative variations. The nth order LDP is proposed to encode the (n-1)th order local derivative direction variations, which can capture more detailed information. The local texture information for a given pixel and its neighborhood is characterized by the texture units calculated in different ways, and the global textural aspect of an image is revealed by its texture spectrum. This paper uses the second, third and fourth order LDPs to classify the textures. For this classification, the texture images are taken from Brodatz album.