Since most mono-modal image registration problems assume this type of functional relationship between images, CC was considered a dedicated approach for this type of problems and thus is often the first choice.
Owing to dissimilar gray-level values of the same scene object and greatly reduced texture details in the TIR band, most existing TIR/visible image registration methods take advantage of features derived from substantial discontinuities in gray-level values, for instance, edge line segments and corners.
Certainly, accuracy of registration is known to be most important in image registration, but the robustness and efficiency of registration are very important as well.
In most cases, this requires image registration (IR) which is the process of geometrically aligning images of the same scene.
Nevertheless, it is still difficult to find an accurate, robust, and automatic image registration method, and most existing image registration methods are designed for a particular application.
Although has been studied for decades, it is still rare to find a general, robust and automatic image registration method, and most existing image registration methods are designed for particular application.
The most time-consuming step was the image registration algorithm, which took 1.6ms to complete.
Currently, most radiation treatment planning systems support image registration and fusion.
Finally, as discussed by Han et al. in [7], the 'parallax' is perhaps the most challenging problem when it comes to image registration.
Although a number of interesting ideas emerged from this problem, when it comes to couple two camera systems, image registration is perhaps the most affordable approach.
