Tubercle bacillus target recognizing and counting algorithm based on diverse characteristics
A technology for Mycobacterium tuberculosis and target recognition, which is applied in the field of medical image processing and pattern recognition, and can solve problems such as inability to recognize and count
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[0053] The present invention will now be described in further detail in conjunction with the accompanying drawings and preferred embodiments. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.
[0054] like Figure 9 A flow chart of the algorithm for identifying and counting mycobacterium tuberculosis targets based on multivariate features, a multivariate feature-based algorithm for identifying and counting mycobacterium tuberculosis targets, including the following steps:
[0055] 1. Image preprocessing, the specific operations are:
[0056] 1. Contrast enhancement, using the method of gray scale stretching to enhance the contrast of the original image.
[0057] 2. Median filtering, using a 3*3 template to perform median filtering on the contrast-enhanced image to filter out speckle noise.
[0058] 3. Gaussian f...
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