A model-based method for rotation invariant texture classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
The spectral correlation theory of cyclostationary time-series
Signal Processing
Segmentation of textured images using Gibbs random fields
Computer Vision, Graphics, and Image Processing
Statistical spectral analysis: a nonprobabilistic theory
Statistical spectral analysis: a nonprobabilistic theory
Spatial frequency channels and perceptual grouping in texture segregation
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object and Texture Classification Using Higher Order Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised textural classification of images using the texture spectrum
Pattern Recognition
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Multirate Digital Signal Processing
Multirate Digital Signal Processing
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of the effects of Gabor filter parameters on texture classification
Pattern Recognition
Texture Classification Using Cyclic Spectral Function
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
IEEE Transactions on Multimedia
Texture image retrieval using new rotated complex wavelet filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
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In this paper a new feature extraction technique for texture analysis is evaluated. This method is based on spectral correlation function (SCF) that provides a second-order statistical description in the frequency domain of signals. Two one dimensional signals are obtained from each image by ordering of pixels row by row and column by column. Then the SCF of each signal is calculated by a computational efficient algorithm, namely, the FFT accumulation method (FAM). Features are energy and standard deviation of spectral correlation functions at different regions of bifrequency planes. This scheme shows high performance in the retrieval and classification of Brodatz texture images. Experimental results indicate that the proposedmethod improves retrieval accuracy and correct classification rate in comparing with other approaches. Furthermore the evaluation of the hidden layer output at the classifier with different numbers of neurons indicates that the extracted features from SCF are more separable potentially in comparing with traditional discrete wavelet transform approaches.