Optical breast imaging offers the possibility of noninvasive, low cost, and high sensitivity imaging of breast cancers. Poor spatial resolution and a lack of anatomical landmarks in optical images of the breast make interpretation difficult and motivate registration and fusion of these data with subsequent optical images and other breast imaging modalities. Methods used for registration and fus...

Image registration (IR) is the process of geometric overlaying or alignment of two or more 2D/3D images of the same scene (unimodal registration), taken or not at different time slots, from different angles, and/or by different image acquisition systems (multimodal registration). Technically, image registration implies a complex optimization of different parameters, performed at local or/and gl...

An interesting problem in computer vision is that of image registration, which plays an important role in many vision-based recognition and motion analysis applications. Of particular interest among data registration problems are multimodal image registration problems, where the image data sets are acquired using different imaging modalities. There are several important issues that make real-wo...

BACKGROUND/PURPOSE Computational skin analysis is revolutionizing modern dermatology. Patterns extracted from image sequences enable algorithmic evaluation. Stacking multiple images to analyze pattern variation implicitly assumes that the images are aligned per-pixel. However, breathing and involuntary motion of the patient causes significant misalignment. Alignment algorithms designed for mult...

Over the past few decades, with rapid development of global aerospace and aerial remote sensing technology, types sensors have evolved from traditional monomodal (e.g., optical sensors) to new generation multimodal multispectral, hyperspectral, light detection ranging (LiDAR), synthetic aperture radar (SAR) sensors). These advanced devices can dynamically provide various abundant images (MRSIs)...