Locally Orderless Registration
نویسندگان
چکیده
منابع مشابه
Locally Orderless Registration for Diffusion Weighted Images
Registration of Diffusion Weighted Images (DWI) is challenging as the data is a composition of both directional and intensity information. In this work, the density estimation framework for image similarity, Locally Orderless Registration, is extended to include directional information. We construct a spatio-directional scale-space formulation of marginal and joint density distributions between...
متن کاملApplications of Locally Orderless Images
In a recent work [1], Koenderink and van Doorn consider a family of three intertwined scale-spaces coined the locally orderless image (LOI). The LOI represents the image, observed at inner scale σ, as a local histogram with bin-width β, at each location, with a Gaussianshaped region of interest of extent α. LOIs form a natural and elegant extension of scale-space theory, show causal consistency...
متن کاملRegularity Classes for Locally Orderless Images
Gaussian scale space permits one to compute image derivatives. The limitation to some finite order is not inherent in the paradigm itself (Gaussian blurred functions are always smooth), but is caused by the interplay of (at least) two external factors. One is the ratio of the Gaussian scale parameter versus the atomic scale that limits physically or perceptually meaningful sizes (e.g. pixel siz...
متن کاملMulti-scale texture classification from generalized locally orderless images
Locally orderless images are families of three intertwined scale spaces that describe local histograms. We generalize locally orderless images by considering local histograms of a collection of "ltered versions of the image, and by extending them to joint probability distributions. These constructions can be used to derive texture features and are shown to be a more general description of two e...
متن کاملLocally Switching Between Cost Functions in Iterative Non-rigid Registration
In non-rigid image registration problems, it can be difficult to construct a single cost function that adequately captures concepts of similarity for multiple structures, for example when one structure changes in density while another structure does not. We propose a method that locally switches between cost functions at each iteration of the registration process. This allows more specific simi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2013
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2012.238