Application of artificial neural networks for feature recognition in image registration
| Autor: | Aleks Y. M. Ontman, Gary J. Shiflet |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Histology
Artificial neural network business.industry Computer science Coordinate system ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Feature recognition Process (computing) Image registration Field (computer science) Pathology and Forensic Medicine Feature (computer vision) Segmentation Computer vision Artificial intelligence business |
| Zdroj: | Journal of Microscopy. 246:20-32 |
| ISSN: | 0022-2720 |
| DOI: | 10.1111/j.1365-2818.2011.03580.x |
| Popis: | Image registration is a process of aligning two or more images taken at different times or using different sensors by transforming the same area into one coordinate system. Imaging conditions, image and area deteriorations from repeated sectioning, are serious impediments to successful image registration. The application of artificial neural networks for feature recognition is introduced to the field of metallurgy to assist in an automated approach to image registration of metallurgical microstructures. Low susceptibility to feature deterioration, often occurring during serial sectioning, is demonstrated and assessed. The process of image registration using an artificial neural network to aid in feature segmentation is performed using computer generated shapes and a metallurgical microstructure. |
| Databáze: | OpenAIRE |
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