An Infrared Image Automatic Focusing Method Combining Coarse and Fine Adjustment

An infrared image and automatic focusing technology, which is applied in the field of image processing, can solve the problem that the definition evaluation function is difficult to achieve the best adjustment effect, etc., and achieves the effect of being beneficial to engineering applications, meeting the definition requirements and requiring a small amount of calculation.

Active Publication Date: 2017-11-03
LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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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

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  • An Infrared Image Automatic Focusing Method Combining Coarse and Fine Adjustment
  • An Infrared Image Automatic Focusing Method Combining Coarse and Fine Adjustment
  • An Infrared Image Automatic Focusing Method Combining Coarse and Fine Adjustment

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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 an infrared image automatic focusing method combining coarse and fine adjustment. According to the automatic focusing command, the motor is controlled to run in the forward and reverse directions, and it starts to run in the opposite direction with a larger step length from the limit position, and the real-time calculation is clear during the operation process. When the value of the sharpness evaluation function reaches the maximum value, it runs in the reverse direction again with a smaller step size, and calculates the value of the sharpness evaluation function in real time, and the position of the maximum value is the clearest imaging position. The invention realizes the combination of coarse and fine adjustment through different motor moving steps, and uses two kinds of image definition evaluation functions for automatic focus calculation, so as to ensure that the infrared imaging system can quickly adjust the focus to the clearest position and achieve the best focus Moreover, this method has a small amount of calculation and strong real-time performance, which is beneficial to engineering applications and can meet the definition requirements of infrared imaging systems.

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 Patents(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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