A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
Index of area coverage of fuzzy image subsets and object extraction
Pattern Recognition Letters
Symmetry analysis of line drawings using the Hough transform
Pattern Recognition Letters
Detecting clouds and cloud shadows on aerial photographs
Pattern Recognition Letters
Detection of generalized principal axes is rotationally symmetric shapes
Pattern Recognition
Algebraic feature extraction of image for recognition
Pattern Recognition
Two-dimensional pattern matching with k mismatches
Pattern Recognition
Separable decompositions and approximations of greyscale morphological templates
CVGIP: Image Understanding
Two-dimensional signal and image processing
Two-dimensional signal and image processing
Ten lectures on wavelets
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
An algebraic theory of wavelets. I. Operational calculus and complex structure
SIAM Journal on Mathematical Analysis
Wavelets: a tutorial in theory and applications
Wavelets: a tutorial in theory and applications
An introduction to wavelets
The wavelet transform, time-frequency localization and signal analysis
IEEE Transactions on Information Theory
Zero-crossings of a wavelet transform
IEEE Transactions on Information Theory
Time-frequency localization operators: a geometric phase space approach
IEEE Transactions on Information Theory
Modelling the spectrum of the fourier transform of the texture in the solar EIT images
Machine Graphics & Vision International Journal
A hybrid method for MRI brain image classification
Expert Systems with Applications: An International Journal
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This paper studies the two-dimensional wavelet transform applied to two-dimensional images. The classical technique oftentimes implements the Fourier transform. This paper offers a brief discussion regarding the comparison of the two transforms on a single alphabet. It provides a comparison of the global properties present in the Fourier transform technique versus a more localized analysis when the wavelet transform is applied to the same image. The wavelet selected in this study is the derivative of the Gaussian since in some sense offers a nice comparison to the Fourier method.