The mean is often the most important statistic of a dataset as it provides a single point that summarizes the entire set. While the mean is readily defined and computed in Euclid...
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...