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Mould image recognizing method and device thereof

An image recognition and mold technology, applied in the field of image recognition, can solve the problems of poor recognition rate and low mold detection efficiency, and achieve the effects of reducing detection cost, high recognition rate and high detection efficiency.

Active Publication Date: 2017-12-15
青岛华晶生物技术有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a mold image recognition method and its device, aiming to solve the problems of low mold detection efficiency and poor recognition rate

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  • Mould image recognizing method and device thereof
  • Mould image recognizing method and device thereof
  • Mould image recognizing method and device thereof

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0044] A mold image recognition method, such as figure 1 shown, including the following steps:

[0045] A. Obtain the captured image of the sample, identify the edge of the sample image and automatically threshold the binarized sample image;

[0046] B. Calculate the area of ​​all contours in the binarized sample image, compare the calculation result with the preset contour area value, and process the image according to the comparison result so that the contour that meets the requirements is retained in the sample image;

[0047] C. Traverse all contours in the sample image after processing, intercept the grayscale image of the contour and calculate the average grayscale value of the grayscale image, compare the calculated average grays...

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Abstract

The invention discloses a mould image recognizing method and a device thereof. The method comprises the following steps that A, a shot image of a sample is obtained, the edges of the sample image are recognized, and threshold binaryzation is automatically conducted on the sample image; B, the areas of all outlines in the binarized sample image are calculated, a calculating result is compared with a preset outline area value, and the image is processed according to a comparison result, so that outlines which meet the requirements are kept in the sample image; C, all the outlines in the processed sample image are traversed, gray level images of the outlines are cut out, an average gray level value of the gray level images is calculated, the calculated average gray level value is compared with a preset gray level threshold, and outlines which are larger than or equal to the gray level threshold in the sample image are kept. A phase contrast microscope is adopted for image shooting, and by means of a circular recognition method, mould in secreta of a vagina of a female can be recognized, so that the recognition rate of detection is high, and the detection efficiency is also high; full-automatic recognition is adopted, so that the detection cost is lowered.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a mold image recognition method and a device thereof. Background technique [0002] In the prior art, when the mold is directly identified by microscope, the identification accuracy is poor, which affects the research and development of automatic identification equipment. In the field of vaginal secretion detection, only one or several kinds of molds can be directly identified, and all molds cannot be identified. The detection efficiency is too low, the recognition rate is poor, and it is easy to misidentify. [0003] Therefore, the prior art still needs further improvement and development. Contents of the invention [0004] The object of the present invention is to provide a mold image recognition method and device thereof, aiming to solve the problems of low mold detection efficiency and poor recognition rate. [0005] The adopted technical solution is: a mold image recogni...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/695G06V20/698G06V10/44
Inventor 王训琨任毅
Owner 青岛华晶生物技术有限公司
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