Similarity measure is a main core of image registration algorithms. Spatially varying intensity
distortion is an important challenge, which affects the performance of similarity measures …

Nowadays by employing many machine learning and pattern classification methods in
object classification, the view-based 3D object classification, an emerging research topic …

Objective: The superimposition of cone-beam computed tomography (CBCT) images is an
essential step to evaluate shape variations of pre and postorthodontic operations due to …

Multimodal groupwise registration has been of growing interest to the image processing
community due to developments in scanner technologies (eg multiparametric MRI, DCE-CT …

Digital image processing aims to improve the quality of an original image so that it can
display an image that is relatively better than the original image, so as to obtain the detailed …

Classification of soft tissues is often joined with uncertainty and ultimate areas border might
be hardly measured in segmentation. Basic techniques of edge detection can be used to …