Image Mosaicing using first order Moments and Pixel to Pixel Comparison

In real-life situations, the field of view of the imaging devices is usually smaller than the scene to be imaged, due to the inherent limitations of the imaging devices. Even if the whole scene is captured in a single exposure, it could result in an image having poor resolution. In such circumstances, it will never be possible to capture the scene as a single image for further processing or human inspection or secondary storage. The only solution to such a problem is to capture the scene by splitting the scene into adjacently placed multiple frames. This process warrants a post imaging operation that requires cohering of these small images to create a single image corresponding to the source scene. The process of cohering of these small / split images (which are also called as image components) has been referred as IMAGE MOSAICING in the literature. Here mosaicing of images of same size and same intensity is done based on texture moments, pixel to pixel comparison. Carrying out the process of cohering interactively on a computer or completely automating the task of cohering is an active research area in the development of Image Processing, Pattern Recognition and Computer Vision applications. Keywords— Registration, Composition, First order moment, contrast, Mosaicing.