Paper
19 June 2017 Research on image registration based on D-Nets
Cengceng Wu, Zhaoguang Liu, Hongtan Cheng
Author Affiliations +
Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430S (2017) https://doi.org/10.1117/12.2280403
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
Abstract
Image registration is the key technology of digital imaging applications, it is used widely. We researched the image registration techniques in this paper. Based on the basis of D-Nets image registration algorithms, we propose a new innovation. We turn first to process image, so we can get synthetic images of original images and enhanced images. Then we extract SIFT feature in the original image. Next, in order to reduce noise of the image, we use the Gauss filter to process the synthesized image. Then we do experiments with synthetic images in the process of image registration. In this process, we use the D-Nets algorithm to achieve. Compared to the existing method, it can greatly improve the accuracy and recall.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cengceng Wu, Zhaoguang Liu, and Hongtan Cheng "Research on image registration based on D-Nets", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430S (19 June 2017); https://doi.org/10.1117/12.2280403
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KEYWORDS
Image registration

Image enhancement

Image processing

Image filtering

Image compression

Feature extraction

Image segmentation

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