The Automatic Undistortion Strength Estimation for Any Describable Optical Distortion
| Autor: | Pavel Chmelar, Natalija Chmelarova, Lubos Rejfek |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Observational error
Image quality Computer science Estimation theory ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences law.invention Hough transform 010309 optics Lens (optics) Quality (physics) law Computer Science::Computer Vision and Pattern Recognition Distortion 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Focal length 020201 artificial intelligence & image processing Algorithm |
| Zdroj: | 2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA). |
| DOI: | 10.1109/radioelek.2019.8733582 |
| Popis: | A presence of an optical distortion does undesired influence on the geometrical image quality. The main reason of its occurring is using a lens with low or variable focal length or simple camera optics. When an image captured by a camera is affected by undesired distortion and it is used for the distance measurement, it can cause significant measurement errors. The aim of this paper is to introduce a method for finding an optimal undistortion parameter for any optical distortion, which can be described mathematically. The proposed method uses the Hough transformation accumulator and at each iteration step the quality of straight lines is evaluated as a gradient from local maximum. The algorithm is verified and assessed on several images. The developed approach can be used to find the global maximum gradient in general, even when a local maximum changes its size over iterations. |
| Databáze: | OpenAIRE |
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