Development and gray scale dynamic programming texture classification based on wavelet network
Dissertant
University
University of Technology
Faculty
-
Department
Department of Control and Systems Engineering
University Country
Iraq
Degree
Master
Degree Date
2004
English Abstract
Image identification plays a great role in industrial, remote sensing, and military applications.
It is concerned with the generation of a signature to the image.
This thesis proposes a dynamic programming algorithm for texture classification.
It was based on a new mapping network called wavelet-network (WN) WN was employed to make approximation to the images before their passing through the discrete wavelet transform decomposition to extract image descriptive features.
These features are used in the proposed image identification algorithm.
The conventional Wavelet Transform with Minimum Distance (WTMD) approach is employed here also for image identification.
A successful identification rate of 99 % was achieved with this approach.
Sub-image identification algorithm has been developed to make it possible to find out the given subpart of an image, this algorithm is also implemented using WTMD after subdividing each image into four subparts and dealing with, each subpart as a unique image.
A successful identification rate of 96.4% was achieved with this approach.
In this thesis the neural network (NN) classifier is combined with the wavelet transform.
As a result, another approach of identification is introduced, namely the Wavelet Transform with Neural Network (WNN), the architecture of the proposed neural network is a Feed-Forward Multilayer Perceptron.
It uses the back-propagation in the training phase.
The identification rate of using WTMD was improved to 100 % after employing WNN.
A reference set of 100 images is used, collected from different texture of.
Main Subjects
Information Technology and Computer Science
Topics
American Psychological Association (APA)
Hasan, Hasan Jalil. (2004). Development and gray scale dynamic programming texture classification based on wavelet network. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305992
Modern Language Association (MLA)
Hasan, Hasan Jalil. Development and gray scale dynamic programming texture classification based on wavelet network. (Master's theses Theses and Dissertations Master). University of Technology. (2004).
https://search.emarefa.net/detail/BIM-305992
American Medical Association (AMA)
Hasan, Hasan Jalil. (2004). Development and gray scale dynamic programming texture classification based on wavelet network. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305992
Language
English
Data Type
Arab Theses
Record ID
BIM-305992
