BACKGROUND
Background: Nowadays, the application of computer technology in the medical field is more and more extensive, and many diseases can achieve better diagnosis and treatment effects through computer technology.
OBJECTIVE
Objective: The paper applies intelligent facial dynamic image information to the clinical treatment of peripheral acupuncture and moxibustion for the treatment of peripheral facial paralysis. An automatic acupoint positioning algorithm based on facial information dynamic image is proposed, which provides an objective and standard basis for the treatment of facial acupuncture and moxibustion.
METHODS
Methods: The paper selects the head threshold, that is, the facial dynamic image information as the research background, and divides the facial features according to the "three courts and five eyes" rule, and uses the Minimum Eigenvalue operator to detect the corner points of the facial features, locate the facial features, and use the face. The feature position is used as a reference coordinate for facial acupoint positioning.
RESULTS
Results: After verification, it was found that the positioning was accurate, and the peripheral facial paralysis of the patient was improved after warm acupuncture point positioning treatment, which improved the facial nerve function of the patient, improved the treatment efficiency and shortened the treatment time. Therefore, this technology is worthy of clinical promotion.
CONCLUSIONS
Conclusion: Through experimental analysis, the algorithm is proved to be effective and accurate. Based on facial dynamic image information to locate acupoints, warm acupuncture has a significant effect on peripheral facial paralysis, which can significantly improve facial nerve function and shorten treatment time, which is worthy of clinical promotion.
Application of Fuzzy Recognition in Image Information Recognition
