Design of a finite impulse response filter for the purpose of directional edge detection via spatial domain convolution /
associated with this filter. Directionality was incorporated
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| Format: | Thesis eBook |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | associated with this filter. Directionality was incorporated bandpass filter was defined in the frequency domain. Its be achieved exclusively in one domain, and (2) it can be Chapters 11 and IV discuss the theory and parameters characteristics were transferred to the weights of the convolution filter capable of directional edge detection criteria and parameters associated with this window. Once the defining parameters were assigned based on image data. dimensional window to truncate the bandpass filter's direction to be detected. Chapters 11 and IV discuss the directional filter in the frequency domain was designed, its directional filter in the frequency domain. In other words, distinct frequency domain filter. The importance of a spatial domain filter is manifested by two facts: (1) Filtering can edge detection process developed, defined, and discussed in edge map was produced. The most prominent result of this edge map with no gaps in its contiguous edge segments. efficiently implemented. Filtering in the frequency domain filter in the spatial domain that is the dual of a specific filtered with a frequency domain filter; subsequently, this frequency response. This allowed edges in any arbitary image in the spatial domain. The filtering process of this into the frequency domain filter by creating a special two- presented in Chapter 111. Finally, the image was convolved requires an image be transformed to the frequency domain, research is briefly summarized by the following steps: ³A research is demonstrated by the fact that the directional result is inverse-Fourier-transformed to realize a filtered spatial domain filter. A detailed outline of this process is the frequency domain. Nobody has designed a directional The purpose of this research was to design a spatial domain the weights of the spatial domain filter are derived from a this thesis was applied to a digital test image to produce an via the Fourier transform. Then the transformed image is which has a specific relationship to a pre-defined filter in with the spatial domain filter, and after postprocessing, an |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | xii, 90 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |