Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly

doi:10.1016/S1672-6529(11)60049-8

J4 ›› 2011, Vol. 8 ›› Issue (4): 440-448.doi: 10.1016/S1672-6529(11)60049-8

Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly

Haipeng Chen^1,2, Xuanjing Shen^1,2, Xiaofei Li^1,2, Yushan Jin^1,2

1. College of Computer Science and Technology, Jilin University, Changchun 130012, P. R. China
2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, P. R. China

出版日期:2011-12-30
通讯作者: Yushan Jin E-mail:Jinys@jlu.edu.cn

Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly

Haipeng Chen^1,2, Xuanjing Shen^1,2, Xiaofei Li^1,2, Yushan Jin^1,2

1. College of Computer Science and Technology, Jilin University, Changchun 130012, P. R. China
2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, P. R. China

Online:2011-12-30
Contact: Yushan Jin E-mail:Jinys@jlu.edu.cn

摘要/Abstract

摘要：

To satisfy the requirements of real-time and high quality mosaics, a bionic compound eye visual system was designed by simulating the visual mechanism of a fly compound eye. Several CCD cameras were used in this system to imitate the small eyes of a compound eye. Based on the optical analysis of this system, a direct panoramic image mosaic algorithm was proposed. Several sub-images were collected by the bionic compound eye visual system, and then the system obtained the overlapping proportions of these sub-images and cut the overlap sections of the neighboring images. Thus, a panoramic image with a large field of view was directly mosaicked, which expanded the field and guaranteed the high resolution. The experimental results show that the time consumed by the direct mosaic algorithm is only 2.2% of that by the traditional image mosaic algorithm while guaranteeing mosaic quality. Furthermore, the proposed method effectively solved the problem of misalignment of the mosaic image and eliminated mosaic cracks as a result of the illumination factor and other factors. This method has better real-time properties compared to other methods.

关键词: bionic compound eye, panoramic image, image mosaic, direct mosaic algorithm

Abstract:

Key words: bionic compound eye, panoramic image, image mosaic, direct mosaic algorithm

Haipeng Chen??Xuanjing Shen??Xiaofei Li??Yushan Jin?. Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly[J]. J4, 2011, 8(4): 440-448.

参考文献

[1] Montabone S. Beginning Digital Image Processing. NY Apress, New York, USA, 2010.

[2] Kise M, Zhang Q. Creating a panoramic field image using multi-spectral stereovision system. Computers and Electronics in Agriculture, 2008, 60, 67–75.

[3] Zou B J, Ruan P, Xiang Y, He J B. An automatic panoramic images mosaic algorithm with precise matching. Computer Engineering and Science, 2010, 32, 60–63. (in Chinese)

[4] Fang X Y, Zhang M M, Pan Z G, Wang P. A new method of manifold mosaic for large displacement images. Journal of Computer Science and Technology, 2006, 21, 218–223.

[5] Wang X Y, Zhang Y, Fu X J, Xiang G S. Design and kinematic analysis of a novel humanoid robot eye using pneumatic artificial muscles. Journal of Bionic Engineering, 2008, 5, 264–270.

[6] Mueller K P, Labhart T. Polarizing optics in a spider eye. Journal of Comparative Physiology A, 2010, 196, 335–348.

[7] Hoshino K, Mura F, Morii H, Suematsu K, Shimoyama I. A small-sized panoramic scanning visual sensor inspired by the fly’s compound eye. Proceedings of IEEE International Conference on Robotics & Automation, Leuven, Belgium, 1998, 1641–1646.

[8] Franceschini N. Sampling of the visual environment by the compound eye of the fly: fundamentals and applications. In Photoreceptor Optics, Snyder A W, Menzel R eds, Springer, Berlin, Germany, 1975, 98–125.

[9] Hidetoshi I. A reconstruction method of projection image on worker honeybees’ compound eye. Neurocomputing, 2003, 52, 561–566.

[10] Wernet M F, Desplan C. Building a retinal mosaic: cell-fate decision in the fly eye. Trends in Cell Biology, 2004, 14, 576–584.

[11] Horridge A. The spatial resolutions of the apposition compound eye and its neuro-sensory feature detectors: observation versus theory. Journal of Insect Physiology, 2005, 3, 243–266.

[12] Li M, Xu L Z, Huang F C. Reconstruction of bionic compound eye images based on super resolution algorithm. Proceedings of IEEE International Conference on Integration Technology, Shenzhen, China, 2007, 706–710.

[13] Zhang H X, Lu Z W, Wang R T, Li F Y, Liu H, Sun Q. Study on curved compound eye imaging system. Optics and Precision Engineering, 2006, 14, 346–350. (in Chinese)

[14] Sun H B, Tong H J, Liang R, Lu Y F, Yan L. Imaging mechanism of moving object detection with bionic compound eye. Geoinformatics, the 18th International Conference on Digital Object Identifier, Beijing, China, 2010, 1–4.

[15] Huang Z X, Xu G L. Research on panorama picture formation in bionic compound eye measuring system. Technology of Computing and measuring, 2006, 26, 17–20. (in Chinese)

[16] Reichardt W, Poggio T, Hausen K. Figure-ground discrimination by relative movement in the visual system of the fly. Part II: towards the neural circuitry. Biological Cybernetics, 1983, 46(Suppl.), 1–30.

[17] Land M F. Compound eyes: old and new optical mechanisms. Nature, 1980, 287, 681–686.

[18] Wan X F, Wang B Y, Zeng P, Liu S. A design of data acquisition of high speed CCD camera. Proceedings of the Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, Chengdu, China, 2009, 743–745.

[19] Feng G L, Tian W J, Huang C Q, Liu T, Zhang S Q. Wide field of view CCD camera based on multi-sensors image mosaics. Proceedings of the Congress on Image and Signal Processing, Sanya, China, 2008, 2, 432–435.

[20] Perez-Rendon A F, Robles R. The convolution theorem for the continuous wavelet tranform. Signal Processing, 2004, 84, 55–57.

[21] Kang C C, Wang W J. Fast communication: fuzzy reasoning-based directional median filter design. Signal Processing, 2009, 89, 344–351.

[22] Guu S M. Fuzzy weighted averages revisited. Fuzzy Sets and Systems, 2002, 126, 411–414.

[23] Chen S E. QuickTime VR: an image based approach to virtual environment navigation. Proceedings of ACM SIGGRAPH, New York, USA, 1995, 29–38.

Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly

Bionic Mosaic Method of Panoramic Image Based on Compound Eye of Fly

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