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西安光学精密机械研究... [2]
长春光学精密机械与物... [1]
光电技术研究所 [1]
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会议论文 [4]
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2012 [2]
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Design of hybrid refractive-diffractive star sensor optical system with wide field and small F-number
会议论文
Beijing, China, 2021-06-20
作者:
Ma, Zehua
;
Wang, Hu
;
Shen, Yang
;
Xue, Yaoke
;
Yan, Haoyu
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浏览/下载:18/0
  |  
提交时间:2022/01/30
optical design
star sensor
hybrid refractive-diffractive
asphere
large field of view
Improved color interpolation method based on bayer image
会议论文
Proceedings of SPIE: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing, 2012
作者:
Wang, Jin
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浏览/下载:12/0
  |  
提交时间:2016/11/24
Research and Design of Color Restoration Algorithm for Demosaicing Bayer Pattern Images
会议论文
3rd international conference on mechanical and electronics engineering (icmee 2011), hefei, peoples r china, sep 23-25, 2011
作者:
Wei Gao
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浏览/下载:16/0
  |  
提交时间:2013/06/19
An image identification system of seal with fingerprint based on CMOS image sensor (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xue X.-C.
;
Zhang S.-Y.
;
Guo Y.-F.
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浏览/下载:10/0
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提交时间:2013/03/25
CMOS image sensors now become increasingly competitive with respect to their CCD counterparts
while adding advantages such as no blooming
simpler driving requirements and the potential of on-chip integration of sensor
analog signal conditioning circuits
A/D converter and digital processing functions. Furthermore
CMOS sensors are the best choices for low-cost imaging systems. An image identification system based on CMOS image sensor is used to identify the seal images that include fingerprint
and then determine whether the seal is fake or not. The system consists of a color CMOS image sensor (OV2610)
a buffer memory
a CPLD
a MCU (P89C61X2)
a USB2.0 interface chip (ISP1581) and a personal computer. The CPLD implement the logic and timing of the system. The MCU and the USB2.0 interface chip deal with the communications between the images acquisition system and PC. Thus PC can send some parameters and commands to the images acquisition system and also read image data from it. The identification of the images of seal is processed by the PC. The structure and scheme of the system are discussed in detail in this paper. Several test images of seal taken by the system are also provided in the paper.
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