Artificial Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
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
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
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The paper investigates the problem of locating edges on digital images. The process is completed through various mathematical transforms. The edges are found by implementing mathematical algorithms for convolutions that are adapted to locate the edges and highlights the technique on using wavelet transforms. We are especially addressing the problem of edge detection, because it has far reaching applications to all fields and especially within medicine. A patient can be diagnosed as having an aneurysm by studying an angiogram. An angiogram is the visual view of the blood vessels whereby the edges are highlighted through the implementation of edge detectors. This process can be completed through wavelet transforms and other convolution techniques.