Title :
Using Gabor Filters as Image Multiplier for Tropical Wood Species Recognition System
Author :
Yusof, Rubiyah ; Rosli, Nenny Ruthfalydia ; Khalid, Marzuki
Author_Institution :
Centre for Artificial Intell. & Robot., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
Abstract :
One of the main problems in wood species recognition systems is the lack of discriminative features of the texture images. In order to overcome this, we use Gabor filter in the pre-processing stage of the wood texture image to multiply the number of features for a single image, thus providing more information for feature extractor to capture. The textural wood features are extracted using two feature extraction methods which are co-occurrence matrix approach, known as grey level co-occurrence matrix (GLCM) and also Gabor filters to generate more variation of features and to improve the accuracy rate. The combined features extracted from GLCM and Gabor filters are sent to the classifier module. A multi-layer neural network based on the popular back propagation (MLBP) algorithm is used for classification. The results show that increasing the number of features by using Gabor filters as image multiplier and the combination of features from Gabor filters and GLCM feature extractors improved the accuracy rate of the wood species recognition system.
Keywords :
Gabor filters; backpropagation; feature extraction; grey systems; image classification; image texture; matrix algebra; multilayer perceptrons; production engineering computing; wood processing; wood products; Gabor filter; MLBP algorithm; back propagation; classifier module; feature extraction; grey level cooccurrence matrix; image multiplier; multilayer neural network; preprocessing stage; tropical wood species recognition system; wood texture image; Anatomy; Computational modeling; Data mining; Feature extraction; Gabor filters; Image recognition; Multi-layer neural network; Neural networks; Pattern recognition; Personnel; Gabor filter; grey level co-occurrence matrix (GLCM); image multiplier; neural network; texture pattern recognition; wood recognition;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-6614-6
DOI :
10.1109/UKSIM.2010.61