Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric stability, as well as high relative and absolute accuracy. For this purpose, a new methodology for fully automated co-registration has been developed allowing efficient and robust spatial alignment of standard orthorectified data products origin...

cancer registration is an important source for measuring the burden of cancer in a population. in practice, however, quite frequently incorrect patients are registered or data items can be inaccurately recorded or not recorded at all. also the process or quality of these registrations varies among countries. in this paper, we briefly discussed some statistical techniques including; mortality an...

medical image registration methods which use mutual information as similarity measure have been improved in recent decades. mutual information is a basic concept of information theory which indicates the dependency of two random variables (or two images). in order to evaluate the mutual information of two images their joint probability distribution is required. several interpolation methods, su...

UNLABELLED BACKGROUND Bimodal molecular imaging with fluorescence diffuse optical tomography (fDOT) and positron emission tomography (PET) has the capacity to provide multiple molecular information of mouse tumors. The objective of the present study is to co-register fDOT and PET molecular images of tumors in mice automatically. METHODS The coordinates of bimodal fiducial markers (FM) in r...

Introduction A common goal in the analysis of functional images of the brain is co-registration with images containing more detailed anatomical information of the same subject, thereby aligning the functional activity with a specific brain region. There are several image-processing algorithms available that can perform this image registration. However, evaluation of these algorithms is difficul...

Constrained and unconstrained algorithms of the multisensor multiresolution technique (MMT) are discussed. They can be applied to unmix low-resolution images using the information about their pixel composition from co-registered high-resolution images. This makes it possible to fuse the lowand high-resolution images for a synergetic interpretation. The constrained unmixing preserves all the ava...