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dc.degree.departmentElectrical and Computer Engineeringen_US
dc.rights.availabilityUnrestricted.
dc.creatorTarng, Jaw-horng
dc.date.accessioned2016-11-14T23:24:02Z
dc.date.available2011-02-18T21:44:35Z
dc.date.available2016-11-14T23:24:02Z
dc.date.issued1986-05
dc.identifier.urihttp://hdl.handle.net/2346/16830en_US
dc.description.abstractA 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.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectFingerprints -- Identificationen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer visionen_US
dc.subjectImage processing -- Digital techniquesen_US
dc.subjectFourier transformationsen_US
dc.titleAdvanced techniques for digital image processing
dc.typeThesis


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