Image registration is an emerging topic in image processing with many applications in medical imaging, picture and movie processing. The classical problem of image registration is concerned with finding an appropriate transformation between two data sets.
Image registration is the process of spatially aligning two or more images of a scene. This basic capability is needed in various image analysis applications. The alignment process will determine the correspondence between points in the images, enabling the fusion of information in the images and the determination of scene changes.
Image recognition and classification is one of the most actively pursued areas in the broad field of imaging sciences and engineering. The reason is evident: the ability to replace human visual capabilities with a machine is very important and there are diverse applications.
There is a growing demand of image processing in diverse application areas, such as multimedia computing, secured image data communication, biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, compression, and so on.
ThisHandbookrepresentscontributions from mostofthe world’sleading educators and active research experts working inthe area of Digital Image and VideoProcessing.
Over the last two decades, we have witnessed an explosive growth in both the diversity of techniques and the range of applications of image processing. However, the area of color image processing is still sporadically covered, despite having become commonplace, with consumers choosing the convenience of color imaging over traditional grayscale imaging.
