Sökning: "image registration"

Visar resultat 1 - 5 av 102 avhandlingar innehållade orden image registration.

1. 1. Methods for Reliable Image Registration : Algorithms, Distance Measures, and Representations

   Författare :Johan Öfverstedt; Natasa Sladoje; Mattias Heinrich; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; alignment; local optimization; global optimization; mutual information; normalized gradient fields; representation learning; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Much biomedical and medical research relies on the collection of ever-larger amounts of image data (both 2D images and 3D volumes, as well as time-series) and increasingly from multiple sources. Image registration, the process of finding correspondences between images based on the affinity of features of interest, is often required as a vital step towards the final analysis, which may consist of a comparison of images, measurement of movement, or fusion of complementary information. LÄS MER

3. 2. Representation Learning and Information Fusion : Applications in Biomedical Image Processing

   Författare :Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Texture Descriptors; Equivariant Neural Networks; Contrastive Learning; Image Classification; Image Registration; Image Retrieval; Digital Pathology; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. LÄS MER

4. 3. Image Filtering Methods for Biomedical Applications

   Författare :M. Khalid Khan Niazi; Ewert Bengtsson; Ingela Nyström; Lucas J. van Vliet; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital image analysis; Image filtering; Intensity inhomogeneity correction; Empirical mode decomposition; Particle Swarm optimization; Image registration; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. LÄS MER

5. 4. Efficient GPU-based Image Registration : for Detailed Large-Scale Whole-body Analysis

   Författare :Simon Ekström; Robin Strand; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Fred Hamprecht; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Magnetic resonance imaging; Image registration; whole-body; Radiology; Radiologi;

   Sammanfattning : Imaging has become an important aspect of medicine, enabling visualization of internals in a non-invasive manner. The rapid advancement and adoption of imaging techniques have led to a demand for tools able to take advantage of the information that is produced. LÄS MER

7. 5. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing

   Författare :Daniel Forsberg; Hans Knutsson; Mats Andersson; Claes Lundström; Wiro Niessen; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; deformable models; scoliosis; visualization; volume rendering; adaptive regularization; GPGPU; CUDA;

   Sammanfattning : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. LÄS MER