| CPC A61H 39/02 (2013.01) | 7 Claims |
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4. An apparatus for identifying back acupuncture points, comprising:
a back meridian identification unit configured to acquire skeleton key feature points of a human body image, and identify a plurality of back meridians on a back based on the skeleton key feature points;
a thoracic and lumbar vertebra position identification unit configured to identify a plurality of thoracic vertebra positions and a plurality of lumbar vertebra positions of the human body image based on the skeleton key feature points; and
a back acupuncture point identification unit configured to identify back acupuncture points based on the plurality of thoracic vertebra positions, the plurality of lumbar vertebra positions, and the back meridians;
wherein the skeleton key feature points comprise a left acromion, a right acromion, a left hip point, and a right hip point; the back meridians comprise a Governing Vessel, an inner bladder meridian of foot-taiyang, and an outer bladder meridian of foot-taiyang; and the identifying a plurality of back meridians on a back based on the skeleton key feature points comprises:
identifying a first midpoint between the left acromion and the right acromion and a second midpoint between the left hip point and the right hip point;
taking a connecting line of the first midpoint and the second midpoint as the Governing Vessel; and
identifying the inner bladder meridian of foot-taiyang and the outer bladder meridian of foot-taiyang based on a topological relationship of the Governing Vessel with the inner bladder meridian of foot-taiyang and the outer bladder meridian of foot-taiyang;
the topological relationship comprises a first distance relationship between the Governing Vessel and the inner bladder meridian of foot-taiyang and a second distance relationship between the Governing Vessel and the outer bladder meridian of foot-taiyang; and the identifying the inner bladder meridian of foot-taiyang and the outer bladder meridian of foot-taiyang based on a topological relationship of the Governing Vessel with the inner bladder meridian of foot-taiyang and the outer bladder meridian of foot-taiyang comprises:
acquiring an actual pixel distance and a theoretic distance between the left acromion and the right acromion;
using a ratio of the actual pixel distance to the theoretic distance as a horizontal cun;
separately adjusting the first distance relationship and the second distance relationship based on the horizontal cun to correspondingly obtain a first calibration relationship and a second calibration relationship; and
identifying the inner bladder meridian of foot-taiyang based on the first calibration relationship, and identifying the outer bladder meridian of foot-taiyang based on the second calibration relationship;
wherein the first distance relationship is that a distance between the inner bladder meridian of foot-taiyang and the Governing Vessel is 1.5 cun, and the second distance relationship is that a distance between the outer bladder meridian of foot-taiyang and the Governing Vessel is 3 cun;
the skeleton key feature points further comprise a left nipple, a right nipple, a left elbow tip, and a right elbow tip; the human body image comprises 12 thoracic vertebrae of the back of the human body; and the identifying a plurality of thoracic vertebra positions of the human body image based on the skeleton key feature points comprises:
establishing a first positional association relationship based on an association relationship between a plurality of thoracic vertebrae;
establishing a second positional association relationship based on an association relationship of the left nipple, the right nipple, the left elbow tip, and the right elbow tip with the thoracic vertebrae; and
identifying the plurality of thoracic vertebra positions based on the first positional association relationship and the second positional association relationship;
the first positional association relationship is as follows:
B+(B+S)+(B+2S)+ . . . +(B+6S)=(B+7S)+(B+8S)+(B+9S) . . . +(B+11S)
the second positional association relationship is as follows:
(B+6S)+(B+7S)+(B+8S)+(B+9S)+(B+10S)=D
wherein B represents a length of a first thoracic vertebra; S represents a length difference between two adjacent thoracic vertebrae; and D represents a distance between a midpoint of a connecting line of the left nipple and the right nipple and a midpoint of a connecting line of the left elbow tip and the right elbow tip;
the skeleton key feature points further comprise a navel; the human body image comprises 5 lumbar vertebrae of the back of the human body; and the identifying a plurality of lumbar vertebra positions of the human body image based on the skeleton key feature points comprises:
acquiring correspondences of the navel with the lumbar vertebrae, and identifying the plurality of lumbar vertebra positions based on the correspondences;
wherein a fourth lumbar vertebra directly faces the navel; a fifth lumbar vertebra is a position 3 cm below the navel; a third lumbar vertebra is a position 3 cm above the navel; and a distance between every two adjacent lumbar vertebrae is 3 cm.
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