Acta Photonica Sinica, Volume. 43, Issue 5, 510005(2014)
Image Processing Algorithm Study of Large FOV Compound Eye Structure
For the large field of view compound eye structure with multi-dimensional sub-eye imaging channels aranged on a curve surface, the segmentation-rotation-projection image processing algorithm was presented to realize a large field of view synthesized of multi-channels. By confirming the arrangement characteristics of the compound eye structure, the relation among all sub-eye images captured by corresponding imaging channels was analyzed and the overlap regions between nearby sub-eye images were eliminated. Meanwhile, by using the principle of geometrical optics and imaging optics, the relation between the sub-eye images and the three-dimensional projection space was studied to achieve the large field of view of two-dimensional sub-eye images synthesized in a three-dimensional space. An artificial compound eye consisted of 37 lenses with field of view over 118 degrees was fabricated and the corresponding sub-eye images captured by the fabricated compound eye structure were processed based on the presented algorithm. The results show that the resolution of the sub-eye images can be ensured of no decrease during the image processing precedure and the algorithm can effectively realise a large field of view synthesized of multi-channel images meeting the practical requirements with high visual effect. All of the above studies could put forword the application of the compound eye imaging system.
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CAO A-xiu, SHI Li-fang, SHI Rui-ying, DENG Qi-ling, DU Chun-lei. Image Processing Algorithm Study of Large FOV Compound Eye Structure[J]. Acta Photonica Sinica, 2014, 43(5): 510005
Received: Aug. 8, 2013
Accepted: --
Published Online: Jun. 3, 2014
The Author Email: A-xiu CAO (longazure@163.com)