University of Alcalá
|Type of Publication:||JCR Journal||Keywords:||circular Hough transform algorithm;distance transform;fiber detection accuracy;image gradients;image quality;image reconstruction;image transmission;incoherent optical fiber bundle calibration;lookup table;optical fiber location;pseudocamera;spatial in-ou|
|Journal:||Instrumentation and Measurement, IEEE Transactions on||Volume:||58|
Image transmission by incoherent optical fiber bundles (IOFBs) requires prior calibration to obtain the spatial in-out fiber correspondence to reconstruct the image captured by the pseudocamera. This information is recorded in a lookup table (LUT), which is later used for reordering the fiber positions and reconstructing the original image. This paper shows how to apply a fiber detection process to minimize the calibration time and improve the quality of the recovered image. Two different fiber detection methods were developed. The former uses the circular Hough transform algorithm based on the image gradient. The second algorithm combines a number of morphological transformations with distance transform. The results demonstrate that this technique provides a remarkable reduction in the processing time while improving fiber detection accuracy.
|[Bibtex] [RIS] [MODS]|