A design method for a common aperture multi-band optical system based on particle swarm optimization (PSO) is proposed. Using the principle of PSO, the optimal parameters of the initial structure of optical system, which meet the requirements of the target function, can be calculated through using multiple iterations. In order to verify the design method, a common aperture multi-band system is created. The optical system can provide images in visible (0.49–0.66 µm), near infrared (0.8–0.9 µm) and medium-wave infrared (3.8–4.8 µm) bands. The focal length of the optical system is 70 mm and the field of view is ±2.5°. The experimental results show that the angular resolution is 1.3 mrad for visible light and near infrared and 4.6 mrad for medium-wave infrared. The optical system can produce images clearly in both the visible and infrared bands, which shows that a design method based on particle swarm optimization is feasible.
Image segmentation in medical image processing has been extensively used which has also been applied in different fields of medicine to assist doctors to make the correct judgment and grasp the patient's condition. However, nowadays there are no image threshold segmentation techniques that can be applied to all of the medical images; so it has became a challenging problem. In this paper, it applies a method of identifying edge of the tissues and organs to recognize its contour, and then selects a number of seed points on the contour range to locate the cancer area by region growing. And finally, the result has demonstrated that this method can mostly locate the cancer area accurately.
As the technology further mature and improvement of social perception, face recognition technology will be applied in more fields. This paper apply the new technology human face recognizing to E-Learning, The realization of this system can make up for the mandatory authentication security deficiencies in the online learning system and effectively solve the student login "imposter" and "desertion" problem in the process of learning.
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