Modeling of dynamic image performance for lithographic projection lens

An Absolute Phase Estimation Method for Interferometry Imagery

Journal of Engineering Technology and Applied Physics ◽

10.33093/jetap.2019.1.2.4 ◽

2019 ◽

Vol 1 (2) ◽

pp. 14-19

Author(s):

Sui Ping Lee ◽

Yee Kit Chan ◽

Tien Sze Lim

Keyword(s):

Noise Suppression ◽

Estimation Method ◽

Phase Image ◽

Phase Estimation ◽

Phase Reconstruction ◽

Estimation Algorithms ◽

Absolute Phase ◽

Filtering Rate ◽

Interferometric Phase ◽

Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

Download Full-text

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

10.2196/preprints.21052 ◽

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.

Download Full-text