http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.