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Electrical and Computer Engineering
Electrical Engineering and Computer Science Faculty Publications
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Full-Text Articles in Engineering
Pixel-Registered Image Fusion, Rufus H. Cofer, Samuel Peter Kozaitis
Pixel-Registered Image Fusion, Rufus H. Cofer, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
One of the highest potential uses of image fusion is that of recognition of critical targets. The continuing image fusion question then is how to make optimal use of the often disparate forms of encountered image detail during fusion. Toward this end, many techniques have been advanced for fusion to a single viewable image. Fewer techniques have been suggested toward fusion with the goal of directly improving target detection or recognition. Based upon emerging trends in pixel accurate registration of images, we show the theoretical foundations required to optimally fuse target imagery for recognition. Results obtained can be applied to …
Multiresolution Binary Optical Correlator Using The Wavelet Transform, Samuel Peter Kozaitis
Multiresolution Binary Optical Correlator Using The Wavelet Transform, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
We used morphological filters to approximate wavelet scaling functions for multiresolution processing of an image. Because some spatial light modulators (SLMs) can only display binary data, wavelet processing of binary images is inhibited. Therefore, we considered an alternative way - morphological processing - to generate a wavelet representation that consists entirely of binary elements. The effects of these filters are dependent on the input signal and cannot be generalized. Therefore, we used a statistical approach to approximate the scaling functions or various wavelets using morphological filters. ©2005 Copyright SPIE - The International Society for Optical Engineering.
Nondispersive Triple-Correlation Spectrometer For Trace Gas Analysis, Samuel Peter Kozaitis, Bruce J. Bradshaw
Nondispersive Triple-Correlation Spectrometer For Trace Gas Analysis, Samuel Peter Kozaitis, Bruce J. Bradshaw
Electrical Engineering and Computer Science Faculty Publications
We showed that the output of an autocorrelation with a gas spectrum could be triple-correlated to reduce the effects of Gaussian noise. Such processing is directly applicable to a correlation spectrometer but could be applied to other designs. In spite of the added processing, triple-correlating the output of a spectrometer allowed us to generally increase the SNR by over a factor of ten. Even with as few as two measurements good results were obtained.