KL divergence-based cervical vertebra thermal imaging data verification method
A technology of KL divergence and verification method, which is applied in the field of cervical vertebra thermography data verification based on KL divergence, and can solve the problem that there is no method to quantitatively explain the cervical vertebra rehabilitation effect of patients.
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[0039] The present invention will be further described below in conjunction with the accompanying drawings.
[0040] Such as figure 1 Shown, the inventive method is accomplished through the following implementation steps, specifically as follows:
[0041] 1. Thermal imaging image processing
[0042] The thermal images of patients with cervical spondylosis before and after treatment are used as input, which are first converted into grayscale images. Low-grey (or cool) tones are represented by dark tones, and conversely, high-grey (or warm) tones are represented by bright tones. In order to better locate the region of the cervical spine, the present invention uses the maximum class error method to binarize the obtained grayscale image. According to the grayscale characteristics, the image is divided into two parts, the target and the background. The larger the inter-class difference between the target and the background, the greater the difference between the two parts of the ...
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