DMI image information recognition based on improved YOLOv4 with focal loss

2021 ◽  
Author(s):  
He Han ◽  
Li Kaicheng ◽  
Lei Yuan ◽  
Wang Fei
Keyword(s):  
Image Information ◽  
Information Recognition

The Image Information Recognition of Large Structures Based on CAD Model Characteristics

2014 ◽  
Vol 511-512 ◽  
pp. 506-509
Author(s):  
Yu Kun Zhang ◽  
Qing Zhang ◽  
Lei Zhao
Keyword(s):  
Optical Measurement ◽  
Geometric Model ◽  
Cad Model ◽  
Optical Instrument ◽  
Large Structure ◽  
Image Information ◽  
Large Structures ◽  
Information Recognition

Because of the interference of the noise signals, the actual feature of objects cant be reflected clearly by photo which is measured by optical measurement. Thus, the database of feature of geometric model is established at the platform of Pro/E. Then the information selected will be extracted and exported, and compared to the photo which is gotten from the optical instrument. This can identify the information to prove the correctness when detecting objects photographed, which is used to adjust to the large structure.

scholarly journals Application of Fuzzy Recognition in Image Information Recognition

2021 ◽  
Vol 1952 (2) ◽  
pp. 022039
Author(s):  
Junlian Huang ◽  
Dongyan Zhao ◽  
Boxue Lv
Keyword(s):  
Image Information ◽  
Information Recognition ◽  
Fuzzy Recognition

Application of Intelligent Facial Dynamic Information Image in Warm Acupuncture and Moxibustion on Peripheral Facial Paralysis (Preprint)

2020 ◽  
Author(s):  
Yanping Chen ◽  
Dongjie Yu ◽  
Jane Cansoni
Keyword(s):  
Facial Paralysis ◽  
Computer Technology ◽  
Treatment Time ◽  
Facial Features ◽  
Nerve Function ◽  
Facial Nerve Function ◽  
Peripheral Facial Paralysis ◽  
Image Information ◽  
Dynamic Image ◽  
Acupuncture And Moxibustion

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.

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