Image registration approach based on SURF
Cui Yang · Infrared and Laser Engineering · 2009
Image registration technique has been widely used in many fields, such as computer vision, medical diagnosis, and treatment and image mosaic. Because of the advantages of supressing information, fast running speed, high accuracy, the method based on feature is a hotspot, SIFT is the typical one. With the shortcomings of large data and time consuming in conventional SIFT method, an image registration approach based on SURF was proposed. Firstly, the feature points were extracted using SURF and the corresponding matching points were found using nearest neighbor method; then the mapping relationship between images could be acquired using RANSAC and least squares techniques; finally registered image was obtained based on interpolation of transform parameters above. Experimental result shows that this algorithm meets the needs of accuracy of parameters estimation values and have smaller calculation and faster speed than SIFT as well. So, it has certain values in both theory and practice.