Two-third weighing noise reduction method

A technology of noise reduction and grayscale histogram, which is applied in the field of image processing, can solve problems such as the difficulty of determining the number of images, the size of the neighborhood set, and the selection of the value window size of the median filter method, etc., to achieve the weight of noise reduction The effect of large coefficient and good reliability

Inactive Publication Date: 2014-11-05
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0003] The invention provides a 2/3 trade-off noise reduction method, which is used to solve the difficulty in determining the size of the neighborhood set in the spatial neighborhood averaging

Method used

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  • Two-third weighing noise reduction method
  • Two-third weighing noise reduction method
  • Two-third weighing noise reduction method

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Experimental program
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Embodiment 1

[0057] Embodiment 1: as Figure 1-12 As shown, a 2 / 3 trade-off noise reduction method, the specific steps of the method are as follows:

[0058] Step1, collect images through the camera;

[0059] Step2, carry out binarization processing to the digitized image, obtain the binarization image;

[0060] Step3. Select an appropriate window to perform noise reduction processing on the binarized image to obtain a noise reduction effect map;

[0061] Step4. Compare the noise reduction effect according to the noise reduction effect diagram and its grayscale histogram to find the most suitable window;

[0062] Step5. Perform binarization processing according to the effect map corresponding to the most suitable window.

[0063] In Step 1, if the collected image is an analog image, digital processing is performed; if the collected image is a digital image, digital processing is not required.

[0064] The concrete steps of described Step3 are as follows:

[0065] Step3.1, list the sha...

Embodiment 2

[0079] Embodiment 2: as Figure 1-12 As shown, a 2 / 3 trade-off noise reduction method, taking the COMS digital camera OV7620 as the research object, in the 2α =92°, focal length f =3.6mm, height above the ground h =28.5cm, the depression angle of the camera θ The image noise reduction experiment is carried out under the condition of =52 °, and the specific implementation is briefly described: firstly, the image is collected by the OV7620 digital camera; secondly, the digitized image is binarized to obtain a binarized image; then a suitable window is selected to pair The binarized image is subjected to noise reduction processing to obtain the noise reduction effect map; then the noise reduction effect is compared according to the noise reduction effect map combined with its gray histogram to find the most suitable window; finally, the most suitable window corresponds to The effect map is binarized.

[0080] The concrete steps of described method are as follows:

[0081] S...

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Abstract

The invention relates to a two-third weighing noise reduction method and belongs to the technical field of image processing. The method comprises the steps that images are collected through a camera at first; the digitized images are binarized, and binarized images are obtained; appropriate windows are selected to carry out noise reduction processing on the binarized images, and noise reduction effect pictures are obtained; noise reduction effects are compared according to the combination of the noise reduction effect pictures and a grey level histogram, and the most appropriate window is found; the effect picture corresponding to the most appropriate window is binarized. The two-third weighing noise reduction method is simple, the data volume is reduced, the computing speed is high, parameters such as the neighborhood set value, the mid-value noise reduction window size and the number of images used for multi-picture average do not need to be tested and screened; in the binarized images, the method is large in noise reduction weighing coefficient, good in reliability and particularly applicable to the field of image processing for images with the requirement for only black and white colors.

Description

technical field [0001] The invention relates to a 2 / 3 trade-off noise reduction method, which belongs to the technical field of image processing. Background technique [0002] Image noise comes from many aspects, some come from the external interference of the system, and some come from the internal interference of the system, thus forming electronic noise, optoelectronic noise, optical noise, etc. The smoothing method to reduce noise can be processed in the space domain or frequency domain. The method There are endless methods, but many methods are based on computers. For images that are only processed in general, the amount of information processing is very large. In most image recognition systems, in many cases, only image denoising and binarization can be used. As the basis for information identification, the more simple noise reduction methods used at this stage include spatial neighborhood averaging, median filtering, and multiple image averaging, etc., but the size of...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06K9/40
Inventor 蒋旭吴涛李庚朱煜浩
Owner KUNMING UNIV OF SCI & TECH
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