Long-wave infrared microscopic image focusing evaluation method based on modified LOG (logarithms) operator and wavelet packet conversion

A technology of wavelet packet transformation and long-wave infrared, which is applied in image analysis, image data processing, calculation, etc., to achieve the effect of high smoothness and good unbiasedness

Inactive Publication Date: 2013-04-03
HARBIN INST OF TECH
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Problems solved by technology

[0005] In order to solve the problem that the existing focus evaluation methods cannot focus on long-wave infrared images with high precision and high sensitivity, the present invention provides a focus evaluation method for long-wave infrared microscopic images based on the improved LOG operator and wavelet packet transform. Edge enhancement, the constructed focus evaluation function can effectively extract high-frequency components from long-wave infrared images, and provide a high-sensitivity focus evaluation method for long-wave infrared microscopy systems

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  • Long-wave infrared microscopic image focusing evaluation method based on modified LOG (logarithms) operator and wavelet packet conversion
  • Long-wave infrared microscopic image focusing evaluation method based on modified LOG (logarithms) operator and wavelet packet conversion
  • Long-wave infrared microscopic image focusing evaluation method based on modified LOG (logarithms) operator and wavelet packet conversion

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[0026] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited.

[0027] The focus evaluation method for long-wave infrared microscopic images based on the improved LOG operator and wavelet packet transform in this embodiment, such as figure 2 As shown, the steps are as follows:

[0028] A. In the 8-12 μm band infrared microscope system, 120 μm before and after the defocus, with an interval step of 6 μm, collected 41 long-wave infrared microscopic images of round holes with different defocus positions. Figure 3-7 The long-wave infrared images collected at the front defocus +40μm and +20μm positions, the positive focus position, and the rear defocus positions -40μm and -20μm are listed respectively;

[0029] B. For the collected long-wave infrared image information, use the improved LOG edge detection operator

[0030]

[0031] Perform ...

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Abstract

The invention provides a long-wave infrared microscopic image focusing evaluation method based on a modified LOG (logarithms) operator and wavelet packet conversion, relates to a focusing evaluation method for a long-wave infrared image and aims to solve the problem that by the use of an existing focusing evaluation method, high-precision and high-flexibility focusing of the long-wave infrared image fails. The focusing evaluation method includes firstly, performing edge detection to each image by a modified LOG edge detection operator; and secondly, performing complete second-order wavelet packet decomposition to the images subjected to edge detection by Shannon entropy standard, accumulating to sum wavelet packet decomposition coefficients in anode of representing high-frequency information to acquire a sum of coefficient, and determining the sum of coefficient as a focusing evaluation function. The focusing evaluation function has excellent unbiasedness, unimodality and high precision.

Description

technical field [0001] The invention relates to a focus evaluation method of long-wave infrared images, in particular to a focus evaluation method applied to a long-wave infrared microscopic imaging system based on an improved LOG operator and wavelet packet transformation. Background technique [0002] At present, it is widely used in various detection systems such as microscopic systems, infrared imaging systems, and various digital cameras. The automatic focusing algorithm that determines the best focal plane based on image sequence evaluation is particularly important. The most important part in the automatic focusing algorithm is how to construct the focusing evaluation function. Accurate, effective, and image-clear evaluation functions are the key to realize automatic focusing by digital image processing technology, and also the essence of automatic focusing algorithm to determine the best focal plane by image sequence evaluation. The quality of the focusing evaluatio...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 胡海力左保军刘建军陈守谦陈刚义范志刚丛海佳
Owner HARBIN INST OF TECH
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