Pollen detection method based on digital image processing technology
A technology of digital images and detection methods, applied in image data processing, image analysis, character and pattern recognition, etc., can solve the problem of error-prone, high economic and time costs, accuracy, professional level of detection personnel, and mental state interference. and other problems, to achieve the effect of less error-prone, clear principle and fast processing speed
Active Publication Date: 2021-04-16
TIANJIN UNIV
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[0006] In order to solve the problems in the prior art, the present invention provides a pollen detection method based on digital image processing, which solves the problem of manual detection and quantity of pollen in the prior art The economic cost and time cost in statistics are relatively high, and the accuracy rate is greatly disturbed by the professional level and mental state of the inspectors, and it is easy to make mistakes, etc.
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[0043] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, and the described specific embodiments are only for explaining the present invention, and are not intended to limit the present invention.
[0044] Step 1: image preprocessing;
[0045] 1-1) Use the Mat class of the OpenCV computer vision software library to read and store image data. The original image S after reading the image file, S includes R s , G s , B s Three channels, images such as figure 2 shown.
[0046] 1-2) By converting the R of the original image S s , G s , B s The weighted average of the three channels is used to obtain the grayscale image A. R s , G s , B s The corresponding weights of the three channels are 0.114, 0.587 and 0.299 respectively.
[0047] Step 2: Acquisition of connected regions;
[0048] 2-1) Perform Canny edge detection on the grayscale image A obtained in step ...
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The invention discloses a pollen detection method based on a digital image processing technology, which comprises the following steps: 1) preprocessing an image: graying an original image acquired by a microscope to obtain a gray image; 2) connected region acquisition: carrying out edge detection and Hough gradient circle detection on the obtained grayscale image to obtain a circle center coordinate set of a Hough detection circle, and carrying out region growth by taking each circle center as a growth seed point to obtain a connected region set. and 3) connected region feature calculation and screening: calculating the feature of each connected region in the connected region set, performing connected region screening through the features, and considering the screened connected region as a detection result. According to the method, pollen detection is carried out by using a digital image processing technology, and the defects of low efficiency, high cost, high error rate and the like in manual pollen detection are overcome. The connected regions are screened by constructing features, and the method has the advantages of clear principle, good interpretability and the like.
Description
technical field [0001] The invention relates to the fields of digital image processing and pollen image detection, in particular to a method for detecting pollen on images collected by a microscope using digital image processing technology. Background technique [0002] Pollen is one of the common allergens, which endangers the health of some sensitive people. Therefore, real-time detection and broadcast of pollen concentration in the air can help allergic patients take preventive measures in time, which has significant social and economic benefits. The main process of currently commonly used pollen concentration detection is as follows: first collect pollen in the air and make a pollen smear, then observe the pollen smear through a microscope, manually detect and count the pollen in the pollen smear, and finally pass the statistical pollen Quantities back-calculate the concentration of pollen in the air. [0003] The inventors found that in the existing pollen concentrati...
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Login to View More IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/187G06K9/00
Inventor 王萍林必艺侯谨毅
Owner TIANJIN UNIV