A method for automatic detection of red blood cells in feces
An automatic detection, red blood cell technology, applied in the field of image processing, can solve the problems of heavy workload, large recognition impact, time-consuming and labor-intensive, etc., and achieve the effect of simple operation
Active Publication Date: 2017-01-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Nowadays, the detection of red blood cells in feces still depends on the naked eye of the staff using a microscope, which is time-consuming and laborious, and the workload is very heavy, and the identification is greatly affected by subjective factors such as the experience and fatigue of the staff. With the development of computer image processing technology, the use of advanced It has become an inevitable trend to use technology to assist in the shape recognition and counting of red blood cells
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[0038] Below in conjunction with accompanying drawing, a kind of red blood cell automatic detection method in feces of the present invention is described in detail:
[0039] Step 1: Use a microscope to collect microscopic images of the diluted stool solution at 40X magnification.
[0040] Step 2: Transform the microscopic image obtained in step 1 into a grayscale image, and then perform inverse binarization on the image according to the set grayscale threshold to obtain a binary image.
[0041] Step 2-1: set the gray level threshold in the inverse binarization process to be 0.8 times the threshold obtained by processing the entire image with the maximum inter-class variance method;
[0042] Step 2-2: Compare the gray value of each pixel in the gray image with the gray threshold, if it is greater than the gray threshold calculated in step 2-1, then assign the gray value 0 to the point, if it is smaller than the gray threshold in step 2-1 The calculated gray threshold is then a...
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The invention discloses an automatic detection method for red blood cells in feces, which belongs to the field of image processing, in particular a method for identifying red blood cells in feces based on grayscale changes in cell morphology and template matching. By performing inverse binarization on the microscopic image of feces, identify a type of impurity image, record its location, and then exclude the impurity in the original image; then perform reverse binary on the original image that excludes one impurity Then identify a kind of impurity and eliminate it. Repeat this step to eliminate multiple impurities and perform template matching. The image required by the composite matching is identified as red blood cells, which achieves the purpose of the invention, and thus has the advantages of simple operation, high efficiency and accurate detection of feces. The effect of red blood cells in the sample.
Description
technical field [0001] The invention belongs to the field of image processing, in particular to a method for identifying red blood cells in feces based on cell morphology gray scale changes and template matching. Background technique [0002] About 3 / 4 of normal feces is water, and the remaining 1 / 4 is solid, and the components in solid are mainly undigested food, digestive tract secretions and formed components, food decomposition products and bacteria, of which the dry weight of bacteria is about 1 / 3. Nowadays, the detection of red blood cells in feces still depends on the naked eye of the staff using a microscope. It has become an inevitable trend to use technology to assist in the shape recognition and counting of red blood cells. At present, the existing detection systems in the world are mainly for blood, but also for urine. The blood cell detection environment has less influence and fewer impurities, and it is easy to obtain ideal results. However, feces contain a ...
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IPC IPC(8): G01N15/10G06T7/00
Inventor 刘霖雷皓婷张静谢煜刘娟秀杨先明袁阳张正龙王强叶玉堂刘永
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA