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Full-Text Articles in Engineering
Near Real-Time Operation Of Public Image Database For Ground Vehicle Navigation, Ehsan A. Ali, Samuel Peter Kozaitis
Near Real-Time Operation Of Public Image Database For Ground Vehicle Navigation, Ehsan A. Ali, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
An effective color night vision system for ground vehicle navigation should operate in near real-time to be practical. We described a system that uses a public database as a source of color information to colorize night vision imagery. Such an approach presents several problems due to differences between acquired and reference imagery. Our system performed registration, colorizing, and reference updating in near real-time in an effort to help drivers of ground vehicles during night to see a colored view of a scene.
Improved Colorization For Night Vision System Based On Image Splitting, Ehsan A. Ali, Samuel Peter Kozaitis
Improved Colorization For Night Vision System Based On Image Splitting, Ehsan A. Ali, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
The success of a color night navigation system often depends on the accuracy of the colors in the resulting image. Often, small regions can incorrectly adopt the color of large regions simply due to size of the regions. We presented a method to improve the color accuracy of a night navigation system by initially splitting a fused image into two distinct sections before colorization. We split a fused image into two sections, generally road and sky regions, before colorization and processed them separately to obtain improved color accuracy of each region. Using this approach, small regions were colored correctly when …
Enhancing Thermal Video Using A Public Database Of Images, Hemin Qadir, Samuel Peter Kozaitis, Ehsan A. Ali
Enhancing Thermal Video Using A Public Database Of Images, Hemin Qadir, Samuel Peter Kozaitis, Ehsan A. Ali
Electrical Engineering and Computer Science Faculty Publications
We presented a system to display nightime imagery with natural colors using a public database of images. We initially combined two spectral bands of images, thermal and visible, to enhance night vision imagery, however the fused image gave an unnatural color appearance. Therefore, a color transfer based on look-up table (LUT) was used to replace the false color appearance with a colormap derived from a daytime reference image obtained from a public database using the GPS coordinates of the vehicle. Because of the computational demand in deriving the colormap from the reference image, we created an additional local database of …
Color Night Vision System For Ground Vehicle Navigation, Ehsan A. Ali, Hemin Qadir, Samuel Peter Kozaitis
Color Night Vision System For Ground Vehicle Navigation, Ehsan A. Ali, Hemin Qadir, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
Operating in a degraded visual environment due to darkness can pose a threat to navigation safety. Systems have been developed to navigate in darkness that depend upon differences between objects such as temperature or reflectivity at various wavelengths. However, adding sensors for these systems increases the complexity by adding multiple components that may create problems with alignment and calibration. An approach is needed that is passive and simple for widespread acceptance. Our approach uses a type of augmented display to show fused images from visible and thermal sensors that are continuously updated. Because the raw fused image gave an unnatural …
Signal-To-Noise Ratio For Cross-Sensor Fusion Approach, Samuel Peter Kozaitis, Michel Ouendeno
Signal-To-Noise Ratio For Cross-Sensor Fusion Approach, Samuel Peter Kozaitis, Michel Ouendeno
Electrical Engineering and Computer Science Faculty Publications
We determined the signal-to-noise ratios for an image fusion approach that is suitable for application to systems with disparate sensors. We found there was reconstruction error present when the forward and reverse transforms for image fusion give perfect reconstruction.
Wavelet-Based Fusion Approach Using Unique Reconstruction Approach, Michel Ouendeno, Samuel Peter Kozaitis
Wavelet-Based Fusion Approach Using Unique Reconstruction Approach, Michel Ouendeno, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
We used measures based on entropy to evaluate a method designed to fuse imagery from different sensor types. The method uses different forward transforms of input images and a common transform to reconstruct the final result. We attempted to examine the link between the error in a reconstructed result and its associated entropy.
Image Fusion For Improved Perception, Michel Ouendeno, Samuel Peter Kozaitis
Image Fusion For Improved Perception, Michel Ouendeno, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
We developed a method to fuse imagery for from different sensor types. The core of our method uses different forward transforms of input images and a common transform to reconstruct the final result. When measuring the entropy and power of the fused result, we found that our method gave generally better results when compared to a more conventional approach. Our method could form the basis of a new image fusion approach because it offers results not possible with a conventional approach.
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 …