Image Mosaic Technology for Inner Surface of Artillery Pipe with Small Number of Feature Points
Zhao Wuhua · Keji daobao · 2008
This paper takes advantage of the features of the inner surface image points in artillery pipe,and proposes an algorithm based on small number of feature points on inner surface of artillery pipe.It picks up Harris corner in the first step and matches the feature points later to remove bad and wrong match points.The Levenberg-Marquardt algorithm is used to get the exact transformation matrix M and Bilinear Interpolation technology is used to finish image registration.Finally,an image blending algorithm based on weight means is used to insure non-gap transition in the inner surface mosaicing image.A mix-programming technology is used to develop a mosaicing software system for inner surface image of artillery pipe,to mosaic and expand the span-field view of inner surface images captured by testing hardware system.The experiment results and data show that the image mosaics algorithm for inner surface of artillery can achieve ideal effects,in a short time,and with robustness and matching precision.