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Coarse tuning and fine tuning combined infrared image automatic focusing method

An infrared image and auto-focusing technology, applied in the field of image processing, can solve the problem that the sharpness evaluation function is difficult to achieve the best adjustment effect, and achieve the effect of being conducive to engineering application, strong real-time performance, and the best focusing effect.

Active Publication Date: 2015-01-21
LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an infrared image automatic focusing method combining coarse and fine adjustment, so as to solve the problem that it is difficult to achieve the best adjustment effect by using a single definition evaluation function in the existing automatic focusing method

Method used

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  • Coarse tuning and fine tuning combined infrared image automatic focusing method
  • Coarse tuning and fine tuning combined infrared image automatic focusing method
  • Coarse tuning and fine tuning combined infrared image automatic focusing method

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Embodiment Construction

[0017] The present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0018] Such as figure 1 Described is the flowchart of the infrared image automatic focusing method combined with coarse and fine adjustment of the present invention. As can be seen from the figure, the method includes the following steps:

[0019] (1) Control the motor to run to the limit position in one direction of the stroke according to the auto-focus command;

[0020] (2) Control the motor to move from the limit position to the opposite direction with the first set step length, collect one frame of image data for each step, and calculate the clarity of the collected infrared image according to the first set evaluation method Evaluation function value f(n);

[0021] (3) Compare the f(n) corresponding to the images collected at each step, and retain the maximum value of f(n). When f(n) is less than the maximum value for two consecutive ti...

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Abstract

The invention discloses a coarse tuning and fine tuning combined infrared image automatic focusing method which is characterized by controlling a motor to operate positively and negatively according to an automatic focusing command; controlling the motor to move to the negative direction with a relatively-large step length from the extreme position; in the moving process, calculating definition evaluation function value in real time; and when the function value reaches maximum value, controlling the motor to move to the negative direction again with a relatively-small step length and calculating definition evaluation function value in real time, and the maximum value place is the clearest imaging place. According to the method, combination of coarse tuning and fine tuning is realized through different motor movement step lengths, and automatic focusing calculation is carried out through two image definition evaluation functions, thereby guaranteeing an infrared imaging system to enable the focal length to be adjusted to the clearest imaging place quickly and realizing the optimum focusing effect; and the method is less in computation burden, high in real-time performance, beneficial to engineering application, and capable of meeting the definition requirement of the infrared imaging system.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an infrared image automatic focusing method combining coarse and fine adjustment. Background technique [0002] The quality of a digital image is directly related to its sharpness and contrast. The sharpness of the image contains relatively rich detail information, which is convenient for related processing of the image, such as image segmentation, image understanding and image tracking. The detection method of image clarity is not only an important link to measure the quality of a digital image, but also the basis for realizing the automatic focus of a digital imaging system. [0003] At present, common image sharpness evaluation functions mainly include image histogram method, energy variance method, square gradient energy method, entropy function method, spectral function method, Laplace energy method, Gaussian variance method, squared Gaussian gradient method and L...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232
Inventor 李玉岩梁锡宁石鹏汪江华
Owner LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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