Search for dissertations about: "digital image vision"

Showing result 1 - 5 of 84 swedish dissertations containing the words digital image vision.

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

   Author : Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

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

   Author : Johan Öfverstedt; Natasa Sladoje; Mattias Heinrich; Uppsala universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

5. 3. Digital Image Analysis of Cells : Applications in 2D, 3D and Time

   Author : Amalka Pinidiyaarachchi; Carolina Wählby; Ewert Bengtsson; Arvid Lundervold; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; microscopy; fluorescent staining; watershed segmentation; sub-cellular localization; point-like signals; wavelets; cell confluence; cytology; color spaces.; Image analysis; Bildanalys;

   Abstract : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. READ MORE

6. 4. Graph-based Methods for Interactive Image Segmentation

   Author : Filip Malmberg; Ingela Nyström; Ewert Bengtsson; Jayaram K. Udupa; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; Interactive image segmentation; Fuzzy image segmentation; Image foresting transform; Graph labeling; Graph cuts; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : The subject of digital image analysis deals with extracting relevant information from image data, stored in digital form in a computer. A fundamental problem in image analysis is image segmentation, i.e., the identification and separation of relevant objects and structures in an image. READ MORE

7. 5. Digital servitization : Organizing the firm and working with the ecosystem

   Author : Alexey Sklyar; Christian Kowalkowski; David Sörhammar; Bård Tronvoll; Vinit Parida; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Digital servitization; Servitization; Digitalization; Ecosystem; Business marketing;

   Abstract : Traditionally, equipment sales were the main source of revenues for manufacturing firms. The situation has changed, and such firms are undergoing servitization when revenues are increasingly derived from services. In parallel, the digitalization of industries brings novel technologies to the forefront of manufacturers’ agendas. READ MORE