Centroid neural network with chi square distance measure for texture classification

Authors:
Vu Thi Lan Huong;Dong-Chul Park;Dong-Min Woo;Yunsik Lee
Affiliations:
Department of Information Engineering, Myong Ji University, Yongln, Korea;Department of Information Engineering, Myong Ji University, Yongln, Korea;Department of Information Engineering, Myong Ji University, Yongln, Korea;Korea Electronics Tech. Inst., Songnam, Korea
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 12
Cited 3

Local linear transforms for texture measurements

Signal Processing
Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification by Wavelet Packet Signatures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Texture Discrimination Rules in a Multiresolution System

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Video Indexing and Full-Video Search for Object Appearances

Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Wavelet-based statistical signal processing using hidden Markovmodels

IEEE Transactions on Signal Processing
On the selection of an optimal wavelet basis for texture characterization

IEEE Transactions on Image Processing
Unsupervised texture segmentation of images using tuned matched Gabor filters

IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames

IEEE Transactions on Image Processing
Centroid neural network for unsupervised competitive learning

IEEE Transactions on Neural Networks
Weighted centroid neural network for edge preserving image compression

IEEE Transactions on Neural Networks

Centroid neural network for face recognition

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Gradient-based local descriptor and centroid neural network for face recognition

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Semantic analysis of 3d anatomical medical images for sub-image retrieval

MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support

Quantified Score

Hi-index	0.00

Visualization

Abstract

An unsupervised competitive neural network for efficient classification of image textures is proposed. The proposed neural network architecture, called centroid neural network with Chi square distance measure (CNN-χ2), employs the Chi square measure as its distance measure and utilizes the local binary pattern (LBP) as an effective feature extraction tool for image data. The proposed CNN-χ2 is applied to image texture classification problems on the Brodatz texture album database. The results are compared with those of conventional approaches including the HMT (hidden Markov tree), IMM (independence mixture model), and WES (wavelet energy signatures). The evaluated results demonstrate that the proposed CNN-χ2 classification algorithm outperforms the conventional algorithms in terms of classification accuracy.