Near-infrared subcutaneous vein segmentation method based on multi-feature clustering
A subcutaneous vein and near-infrared technology, which is applied in the field of vein identification and subcutaneous intravenous injection, can solve the problems affecting the contrast of veins and blood vessels, the noise of segmentation results, and the accuracy of segmentation, so as to achieve the effect of convenient special zone and classification and ensuring accuracy
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[0026] as attached figure 1 As shown, the near-infrared subcutaneous vein vessel segmentation method based on multi-feature clustering specifically includes the following steps:
[0027] Step S101, preprocessing the near-infrared vein image.
[0028] The near-infrared vein image includes three regions: background, skin and veins. Among them, the gray value of the skin and vein area is significantly higher than that of the background area, which is reflected in the image histogram as a clear boundary between the two areas. Therefore, in order to reduce the scope of image processing and get rid of the edge influence, the present invention firstly utilizes Niblack global threshold value segmentation to obtain skin and vein blood vessel region, and its threshold value calculation is as formula (1):
[0029] Tb=Mean-b×std (1)
[0030] Among them, Mean and std are the global mean and mean square deviation of the image respectively; b is the threshold coefficient, under fixed illu...
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