Design of Appropriate Wavelet Bases for Texture Discrimination / (Record no. 181776)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02445 a2200193 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Nust |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260206184552.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Nust |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,CHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chaudhry, Mohammad Ali |
| 9 (RLIN) | 133106 |
| 245 ## - TITLE STATEMENT | |
| Title | Design of Appropriate Wavelet Bases for Texture Discrimination / |
| Statement of responsibility, etc. | Mohammad Ali Chaudhry |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Place of publication, distribution, etc. | Rawalpindi, |
| Date of publication, distribution, etc. | 2007 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xii, 83, p.; |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Problem of texture analysis and discrimination using wavelet transform has been<br/>under consideration for the last three decades by several researchers from different<br/>fields. Unlike Fourier transform, several bases are available in wavelet transform for<br/>signal decomposition, but none of these has been designed by considering the actual<br/>texture images to be discriminated. Therefore, a system is required for the design of<br/>wavelet bases which caters the actual texture image to be discriminated. There are<br/>several factors involved in wavelet design which can greatly influence the desired<br/>results such as regularity, length of the wavelet, orthogonal or biorthogonal etc.<br/>In this research work, we have analyzed different regions of Pakistan on the<br/>basis of their textural properties. We propose a design of wavelet bases using genetic<br/>optimization, which will provide excellent discrimination between the multiple<br/>texture image s. Our objective function is based on maximization of distinguishability<br/>measure involving the computation of finer details subject to some wavelet<br/>constraints. In contrast to well known orthogonal wavelet families, we have used extra<br/>degree of freedom in design of the wavelet function for best possible texture<br/>discrimination. In genetic optimization process, design parameters of wavelet are<br/>optimized according to the characteristics of texture images under defined set of<br/>constraints. Classification results of optimized orthogonal and biorthogonal wavelet<br/>were compared with the existing wavelet families, which show that the results<br/>obtained are superior in terms of texture discrimination. The proposed system is capable of designing optimized wavelet by changing the input texture images for<br/>different applications such as medical images, satellite images, document analysis and<br/>industrial application etc. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Muhammad Noman Jafri |
| 9 (RLIN) | 133109 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Source of classification or shelving scheme | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 12/12/2016 | 621.382,CHA | MCSPhd EE-01 | 12/08/2016 | 12/12/2016 | Thesis | Almirah No.68, Shelf No.6 |