DESIGN OF FEATURE-BASED IMAGE MOSAICING ALGORITHM
Hou Zai · 2003
A new feature based approach to automatal image to image mosaicing was presented. In the feature extraction process, the performance of the Laplacian of Guassian operators was improved after enhancing the resultant convolved image and calibrating with region growing algorithm. The chain code was replaced by the shape signature and used to express the contour, improve the speed and decrease the effect of noise and transformation due to camera calibration. Experimental results verified the better robustness and efficiency of the algorithm than chain code based algorithm. It can be used to image mosaicing without camera calibration.