A threshold selection method and device for iterative correlation imaging
A technology of correlated imaging and threshold value selection, which is applied in the direction of optical devices, measuring devices, instruments, etc., can solve problems such as unsystematic selection methods, and achieve the effect of improving the quality of image reconstruction
Active Publication Date: 2020-05-05
JILIN UNIV +1
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However, prior to this, the threshold selection of the iterative reconstruction algorithm had only a rough interval, and there was no systematic selection method, and an approximate threshold could only be obtained through multiple tests
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[0045] The invention provides a threshold selection method and device for iterative correlation imaging. The main function of the device is to prepare a pseudothermal light source and complete a specific reconstruction algorithm, such as a traditional correlation imaging algorithm, a pseudo-inverse correlation imaging algorithm, and a differential correlation imaging reconstruction algorithm.
[0046] see figure 1 , figure 1 It is a system diagram for threshold selection of iterative correlation imaging, including 1, laser 2, beam expander 3, frosted glass 4, beam splitter 5, object to be measured 6, convex lens 7, barrel detector 8, photoelectric coupling device 9, micro Controller 10, servo motor driver 11, stepping motor driver 12, servo motor 13, stepping motor 14, touch screen 15, computer.
[0047] Such as figure 1 As shown, the laser 1 passes through the beam expander 2 and irradiates on the rotating ground glass 3 to generate a pseudothermal light source, which is d...
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The invention discloses a method and a device for threshold selection in iterative correlated imaging, and belongs to the technical field of correlated imaging. The device comprises a microcontroller,a driver, a stepping motor, a servo motor and an iterative correlated imaging reconstruction system. The microcontroller is introduced to drive the servo motor and the stepping motor to complete preparation of a pseudo-thermal light source, and a threshold selection process is completed at a computer end. According to the method, a K-mean clustering method is mainly used to carry out clustering on a noise interference item and a reconstruction beneficial item in a certain reconstruction algorithm, so that an iterative threshold is obtained, a reconstruction result obtained by the reconstruction algorithm is used as an initial value to construct a hypothetical noise interference item, approximation of the actual noise interference is achieved through iterative operation, and finally, a difference is made between the actual noise interference and the actual noise, so that an effect of restraining the actual noise interference is achieved. In the actual measurement process, the reconstruction quality is greatly improved through the threshold selected by the method, and a problem of threshold selection in iterative correlated imaging can be well solved.
Description
technical field [0001] The present invention relates to the technical field of correlation imaging, in particular to a threshold selection method and device for iterative correlation imaging. Background technique [0002] As a new imaging method, correlative imaging has become one of the research hotspots in the field of quantum optics in the past three decades because of its advantages such as high resolution, strong anti-interference ability, and non-locality. Correlation imaging uses two detectors to measure the light field, and only detects the total light intensity of the light reflected or transmitted by the object without detecting its spatial distribution. The charge-coupled device detects the spatial intensity distribution of the light field irradiated on the object surface, and finally reconstructs the image of the object through correlation operations, realizing the separation of detection and imaging. Correlation imaging reconstruction algorithm, as an important...
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IPC IPC(8): G01B11/24
Inventor 郜峰利宫晓斌吕小凤岳聪宋俊峰郭树旭陈箭
Owner JILIN UNIV