A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
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
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Ten lectures on wavelets
On the representation of operators in bases of compactly supported wavelets
SIAM Journal on Numerical Analysis
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearly shiftable scaling functions
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
A translation-invariant wavelet representation algorithm withapplications
IEEE Transactions on Signal Processing
Time-invariant orthonormal wavelet representations
IEEE Transactions on Signal Processing
IEEE Transactions on Image Processing
A translation- and scale-invariant adaptive wavelet transform
IEEE Transactions on Image Processing
Expert Systems with Applications: An International Journal
Persian/arabic handwritten word recognition using M-band packet wavelet transform
Image and Vision Computing
Classification of Image Data Using Gradient-Based Fuzzy C-Means with Mercer Kernel
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Image and Vision Computing
Engineering Applications of Artificial Intelligence
Fuzzy c-means algorithm with divergence-based kernel
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Content-Based classification of images using centroid neural network with divergence measure
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Satellite image classification using a divergence-based fuzzy c-means algorithm
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Image data classification using fuzzy c-means algorithm with different distance measures
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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An effective shift invariant wavelet feature extraction method for classification of images with different sizes is proposed. The feature extraction process involves a normalization followed by an adaptive shift invariant wavelet packet transform. An energy signature is computed for each subband of these invariant wavelet coefficients. A reduced subset of energy signatures is selected as the feature vector for classification of images with different sizes. Experimental results show that the proposed method can achieve high classification accuracy of 98.5 percent and outperforms the other two image classification methods.