Hair transplanting density determination method and system based on intelligent comparison
A determination method and hair transplantation technology, applied in the field of hair transplantation density determination method and system based on intelligent comparison, can solve the problems of large error, low accuracy and efficiency of hair transplantation density calculation, instability of manual calculation, etc., and achieve high precision and applicable strong effect
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Embodiment 1
[0025] Such as figure 1 As shown, the embodiment of the present application provides a method for determining hair density based on intelligent comparison, wherein the method includes;
[0026] S100: Obtain an image of the first scalp region;
[0027] S200: Perform convolution feature extraction on the first scalp region image to obtain a first region and a second region, wherein the first region is a planting region, and the second region is a donor region;
[0028]Specifically, the first scalp region image refers to the scalp image of the hair transplant user, and the image acquisition device can be a high-precision camera device; the convolution feature refers to the image of the first scalp region Convolution extraction is performed on the features of the first scalp area. Convolution extraction is actually a dimensionality reduction process for the image information of the first scalp area, because hair transplantation requires effective image information such as plantin...
Embodiment 2
[0089] Based on the same inventive concept as a method for determining hair density based on intelligent comparison in the foregoing embodiments, as figure 2 As shown, the embodiment of the present application provides a system for determining the density of hair transplantation based on intelligent comparison, wherein the system includes;
[0090] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain a first scalp region image;
[0091] The second obtaining unit 12, the second obtaining unit 12 is used to perform convolution feature extraction on the first scalp region image to obtain a first region and a second region, wherein the first region is a planting region, and the said second region is a donor region;
[0092] A third obtaining unit 13, the third obtaining unit 13 is configured to obtain the first planting area of the first region;
[0093] A fourth obtaining unit 14, the fourth obtaining unit 14 is configured to obtain a second scalp r...
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