Image registration model and algorithm for multi-focus images
| Autor: | Jia Liang, Yunshi Yao, Gang Dang, Xiaohua Xia |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Physics::Medical Physics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration 02 engineering and technology 01 natural sciences Image (mathematics) 010309 optics Artificial Intelligence 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Image fusion business.industry Multi focus Pattern recognition Computer Science::Computer Vision and Pattern Recognition Signal Processing 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence Affine transformation business Algorithm Software Homography (computer vision) |
| Zdroj: | Pattern Recognition Letters. 86:26-30 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2016.12.005 |
| Popis: | A model and an algorithm are proposed for multi-focus image registration.The model contains only one parameter, which has explicit physical meaning.They improve the registration accuracy and are better than the widely used method.Factors affecting image registration error are analyzed, and suggestions are given. Accurate registration of multi-focus images is essential in the fields of image fusion and shape from focus. A new image registration model, which is based on the geometry of multi-focus imaging, is presented for multi-focus images. The model contains only one parameter to be calibrated, and the parameter has explicit physical meaning. Golden section search is utilized to calibrate the parameter in our global image registration algorithm. Experimental results show that the model and algorithm can improve registration accuracy of multi-focus images and the method is superior to the widely used method based on affine transformation. Finally, factors affecting the registration error of our method are analyzed by simulation, and suggestions are given to improve the registration accuracy in practical applications. Display Omitted |
| Databáze: | OpenAIRE |
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