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Infrared Image Edge Detection Based on Morphology-Canny Fusion Algorithm
Tang Qingju,Bu Chiwu,Liu Yuanlin,Zang Jiansuo,Li Dayong 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.3
Effectively extracting the contour edge of the defect in the infrared image can realize the recognition of the geometrical features of the defect. In view of the traditional Canny edge detection algorithm in the Gauss filter variance and high and low threshold selection need artificial intervention, does not have the adaptive ability, and its defects in the gradient calculation, proposed a method based on the improved Canny operator and image morphological fusion edge detection method. Using the improved Canny operator and image morphology to edge detection, the simulation results show that the algorithm has good anti noise ability, effectively improve the accuracy and integrity of the edge detection in the infrared image, and achieve a better extraction of geometric features of the edge of the defect.
Study on Defects Edge Detection in Infrared Thermal Image Based on Ant Colony Algorithm
TANG Qingju,DAI Jingmin,LIU Chunsheng,LIU Yuanlin,REN Chunping 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
Edge extraction is an important part in the detection of infrared thermal images. Ant colony algorithm has the characteristics of high efficiency, high noise suppression, and comprehensive information of edge information. The basic principle of ant colony algorithm is analyzed. An ant colony optimization algorithm for image edge detection is established. And to have defective parts for analysis of infrared thermography The ant colony algorithm and the classical Canny operator are compared and analyzed. The experimental results show that the algorithm has high efficiency, comprehensive information and high computational efficiency.
Computer Simulation of Metal Surface Micro-Crack Inspection Using Pulsed Laser Thermography
Tang Qingju,Bu Chiwu,Liu Yuanlin,Yu Fengyun,Zhao Yawei 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.3
Surface micro cracks are easy to produce in the preparation and service process of metal material, which impacts on the safe operation of metal components. Pulsed laser spot excitation and infrared thermal imaging technology are combined to detect metal surface micro-cracks. The working principle of laser infrared thermal imaging detection technology was described. The three dimensional heat conduction model of pulsed laser excitation flux transfer in metal plate was established, and calculated using finite element method (FEM). The results showed that, thermal flow in the image is a “D” shape. There are temperature differences between the sound regions and defective regions, and the defects experiences the process of obscure, gradually clear, and gradually obscure. Pulsed infrared thermography sequence was processed by polynomial fitting method, and the coefficient images effectively improve the contrast between defective and non-defective areas, which is beneficial to the determination and of recognition micro cracks.