Research on Aircraft Part Localization and Recognition Based on Image Processing
In order to meet the positioning and recognition requirements of aircraft parts for a military enterprise,an op-timized image positioning and recognition algorithm is proposed in this paper.In terms of part recognition,an improved Gaussian filtering algorithm is used to reduce image noise,the improved Canny algorithm is used for part edge detection processing,the improved threshold segmentation algorithm is used to obtain the edge contour of the part,and finally,the improved SIFT algorithm is used to complete the part recognition processing.In terms of part positioning,by performing multi angle rotation operations on the parts,the minimum outer rectangular area and centroid coordinates of each angle are recorded to meet the positioning requirements of parts with different angles.The experimental results show that the position-ing and recognition accuracy of this method can reach 100%.
part recognitionpart positioningsimulated annealing algorithmSIFT algorithmminimum bounding rectangle
万方数据
维普
