Sökning: "Datoriserad bildbehandling"
Visar resultat 1 - 5 av 33 avhandlingar innehållade orden Datoriserad bildbehandling.
1. Image processing on optimal volume sampling lattices : Thinking outside the box
Sammanfattning : This thesis summarizes a series of studies of how image quality is affected by the choice of sampling pattern in 3D. Our comparison includes the Cartesian cubic (CC) lattice, the body-centered cubic (BCC) lattice, and the face-centered cubic (FCC) lattice. LÄS MER
2. Methods for 2D and 3D Quantitative Microscopy of Biological Samples
Sammanfattning : New microscopy techniques are continuously developed, resulting in more rapid acquisition of large amounts of data. Manual analysis of such data is extremely time-consuming and many features are difficult to quantify without the aid of a computer. LÄS MER
3. Automated Tissue Image Analysis Using Pattern Recognition
Sammanfattning : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. LÄS MER
4. Computerized Cell and Tissue Analysis
Sammanfattning : The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. LÄS MER
5. Spectral Image Processing with Applications in Biotechnology and Pathology
Sammanfattning : Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. LÄS MER
