The invention relates to the medical technical field of
hand vein image enhancement and segmentation, and discloses a
hand vein infrared image enhancement and segmentation method based on AGC and Frangi, and the method comprises the steps: firstly collecting a
hand vein image under the
irradiation of
infrared light, then carrying out the guided filtering of an initial image, and carrying out the
sharpening of the edge of the image, the method comprises the following steps: firstly, carrying out
image processing on a
blood vessel, then stretching the contrast of an image through AGC, then carrying out multi-scale
Gaussian filtering
noise reduction
processing on the processed image, then carrying out
blood vessel recognition on the processed image by applying a Frangi
algorithm, extracting a tubular
blood vessel contour, and finally, carrying out local binarization segmentation and open operation
noise reduction on the image in sequence. And a segmented blood vessel shape with an obvious visual effect is obtained. According to the method, the AGC
algorithm and the Frangi
algorithm are innovatively combined, breakpoints generated after Frangi
processing can be effectively reduced through combination of the AGC algorithm and the Frangi algorithm, and therefore the overall
image enhancement and segmentation effect is improved.