Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Local linear transforms for texture measurements
Signal Processing
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Wavelets and subband coding
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Computing geostatistical image texture for remotely sensed data classification
Computers & Geosciences
Wavelet Image and Video Compression
Wavelet Image and Video Compression
Digital Image Processing
Texture classification using wavelet transform
Pattern Recognition Letters
Estimation of the self-similarity parameter using the wavelet transform
Signal Processing
Segmentation of multispectral remote sensing images using active support vector machines
Pattern Recognition Letters
A cluster validity index for fuzzy clustering
Pattern Recognition Letters
Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Multiresolution mammogram analysis in multilevel decomposition
Pattern Recognition Letters
A novel fuzzy classifier based on product aggregation operator
Pattern Recognition
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Wavelet and curvelet moments for image classification: Application to aggregate mixture grading
Pattern Recognition Letters
A survey of image classification methods and techniques for improving classification performance
International Journal of Remote Sensing
Improving urban classification through fuzzy supervised classification and spectral mixture analysis
International Journal of Remote Sensing
International Journal of Remote Sensing
Stitching defect detection and classification using wavelet transform and BP neural network
Expert Systems with Applications: An International Journal
A novel approach to neuro-fuzzy classification
Neural Networks
Wavelet-based fingerprint image retrieval
Journal of Computational and Applied Mathematics
A novel biorthogonal wavelet network system for off-angle iris recognition
Pattern Recognition
Hybrid intelligent techniques for MRI brain images classification
Digital Signal Processing
IEEE Transactions on Fuzzy Systems
The application of multiwavelet filterbanks to image processing
IEEE Transactions on Image Processing
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
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Abstract: A wavelet feature based supervised scheme for fuzzy classification of land covers in multispectral remote sensing images is proposed. The proposed scheme is developed in the framework of wavelet-fuzzy hybridization, a soft computing approach. The wavelet features obtained from wavelet transform on an image provides spatial and spectral characteristics (i.e., texture information) of pixels and hence can be utilized effectively for improving accuracy in classification, instead of using original spectral features. Four different fuzzy classifiers are considered for this purpose and evaluated using different wavelet features. Wavelet feature based fuzzy classifiers produced consistently better results compared to original spectral feature based methods on various images used in the present investigation. Further, the performance of the Biorthogonal3.3 (Bior3.3) wavelet is observed to be superior to other wavelets. This wavelet in combination with fuzzy product aggregation reasoning-rule outperformed all other methods. Potentiality of the proposed soft computing approach in isolating various land covers are evaluated both visually and quantitatively using indexes like @b measure of homogeneity and Xie-Beni measure of compactness and separability.