Advanced techniques for digital image processing
| dc.creator | Tarng, Jaw-horng | |
| dc.date.accessioned | 2016-11-14T23:24:02Z | |
| dc.date.available | 2011-02-18T21:44:35Z | |
| dc.date.available | 2016-11-14T23:24:02Z | |
| dc.date.issued | 1986-05 | |
| dc.degree.department | Electrical and Computer Engineering | en_US |
| dc.description.abstract | A new algorithm for enhancing a degraded grey scale image is proposed here. The enhancement algorithm is a locally adaptive Fourier filter which locates and analyzes the Fourier spectral information and then enhances the identifying features. Thus, it can achieve a better enhancement result than conventional homomorphic FFT techniques. By using a short space basis implementation, a large amount of memory space can be saved, consequently the computation speed is greatly improved. The primary objective of this algorithm is to extract linear features from a noisy image. However, the algorithm also can be modified in order to enhance other different kinds of features. The main advantages of this algorithm are: 1. It requires a small amount of computer memory; this makes it easy to implement in small computers. 2. It has fast processing speed. 3. It is powerful in extracting local linear features. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/2346/16830 | en_US |
| dc.language.iso | eng | |
| dc.publisher | Texas Tech University | en_US |
| dc.rights.availability | Unrestricted. | |
| dc.subject | Fingerprints -- Identification | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Computer vision | en_US |
| dc.subject | Image processing -- Digital techniques | en_US |
| dc.subject | Fourier transformations | en_US |
| dc.title | Advanced techniques for digital image processing | |
| dc.type | Thesis |