A method for evaluating the plaque removal efficiency of space cabin materials based on image analysis

An image analysis and plaque technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as a large number of experimental consumables, inability to remove microorganisms, and difficult to count directly.

Inactive Publication Date: 2018-12-25
BEIHANG UNIV
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Problems solved by technology

After the microorganisms attach to form colonies, the colonies are highly dense and difficult to count directly. In the environment of the space station, due to the limited space and materials, it is ...

Method used

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  • A method for evaluating the plaque removal efficiency of space cabin materials based on image analysis
  • A method for evaluating the plaque removal efficiency of space cabin materials based on image analysis
  • A method for evaluating the plaque removal efficiency of space cabin materials based on image analysis

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example 1

[0016] 1. Use fungi as corrosion materials. The bacteria used are cultivated on the surface of the rubber material, and after the plaques grow, take pictures. Then remove the bacterial plaque, and take pictures after removing it.

[0017] 2. Firstly, K-means is used to cluster the pixels in the image to accurately select the highlight area. Select K points as the initial cluster center, and calculate the distance from each pixel to the cluster center. Divide by distance, calculate each cluster center again, and terminate when the measure function (mean square error of pixels in the same class) reaches convergence. After the above operations, the highlight area can be obtained more accurately. Convert the processed image into an SF image (keep the object collection information in the original image, but remove the specular reflection), the formula is V sf,i (p)=V i (p)-V min (p), modify the SF image to obtain the MSF image, the formula is where V i (p) is the color valu...

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Abstract

The invention relates to a method for evaluating a plaque removing effect on the surface of a space cabin material based on image analysis, which comprises the following steps: firstly, the surface ofthe material before and after the plaque removing is shot by a camera on a plaque removing device respectively to obtain a plaque image before and after the plaque removing; and secondly; the highlight regions in plaque images were accurately obtained and labeled by a clustering method; the plaque image of the marked high-light area is subjected to high-light removing treatment; the feature vector is normalized as the data set of the neural network to train the model, which is used to identify and mark the plaque; the area of plaque region marked by plaque image is calculated; wherein the removal rate is the ratio of the area of labeled plaque in the image before and after plaque removal. As the plaque area in the image before and after the plaque removal can be effectively obtained, theplaque removal efficiency can be accurately obtained.

Description

technical field [0001] The invention relates to a method for evaluating the bacterial plaque removal degree on the surface of space cabin materials based on image analysis. This method is used to analyze the images before and after the plaque removal on the surface of space cabin materials to obtain the sterilization rate. technical background [0002] The surface of space cabin materials is easily attached by microorganisms and forms plaques. If these plaques are not removed in time, the microorganisms will corrode the material, which will affect the overall life of the equipment and pose a serious threat to the life and health of the occupants. Therefore, it is of great significance to remove microorganisms in airtight cabins. After the microorganisms attach to form colonies, the colonies are highly dense and difficult to count directly. In the environment of the space station, due to the limited space and materials, it is impossible to carry out long-term microbial cult...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/90G06K9/62
CPCG06T7/0004G06T7/90G06T2207/10004G06T2207/20084G06T2207/20081G06F18/23213
Inventor 刘红王敏娜付玉明
Owner BEIHANG UNIV
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