COURSE: Image Processing and visulization. PROF. CHANDRAJIT BAJAJ LAL
- https://computing.phd.upc.edu/en/events/course-image-processing-and-visulization.-prof.-chandrajit-bajaj-lal
- COURSE: Image Processing and visulization. PROF. CHANDRAJIT BAJAJ LAL
- 2012-06-25T11:30:00+02:00
- 2012-06-29T13:30:00+02:00
Jun 25, 2012 11:30 AM to Jun 29, 2012 01:30 PM (Europe/Madrid / UTC200)
Room S215 (floor -2), Omega Building, UPC, Barcelona
Introduction to Multi-scale Imaging, Geometry, Informatics and Visualization
Introduction to computational algorithms and data structures for image and geometry processing, and visualization with applications to multi-modal biological-imaging data spanning molecular, cellular, tissue and whole organ scales. The relevant algorithms include image filtering, contrast enhancement, alignment, reconstruction, contouring, skeletonization, segmentation, compression, surface point-cloud reconstruction, cross-sectional interpolation, finite element mesh generation, mesh-quality improvement, medial axis, complementary spaces, quantitative analysis (topological, combinatorial, geometric properties), volume visualization. The relevant data structures include interval trees, octrees, contour trees and packing grids.
As application case studies we shall consider :
I) molecular modeling from single particle and tomographic EM (electron microscopy) and quantitative visualization of properties involved in molecular recognition
II) cellular modeling from serial section EM and quantitative visualization of properties involved in electrical signaling
III) cardio-vasculature modeling from CT (computed tomography) Angio and quantitative visualization of properties involved in blood flow
June 25: Lecture 1 (2D Imaging) - acquisition; representation; 2D to 3D reconstruction for electron microscopy (single -particle, serial section, tilt-series), X-ray computed tomography (CT): forward and inverse Radon transform; volume visualization.
Application case study examples for I, II, and III
June 26: Lecture 2 (Image Processing 2D and 3D) - filtering, contrast enhancement, alignment, classification, compression.
Application case study examples for I, II, and III
June 27: Lecture 3 (Geometry Extraction) - static & active contouring, multi-phase segmentation, skeletonization, ultra-structure elucidation.
Application case study examples for I, II, and III
June 28: Lecture 4 (Geometry Processing)
surface point-cloud reconstruction, cross-sectional interpolation, surface & volumetric quality meshing (triangular, tetrahedral, quadrilateral, hexahedral), mesh-quality improvement, medial axis skeletonization.
Application case study examples for I, II, and III
June 29: Lecture 5 (Informatics & Visualization) - quantitative analysis (topological, combinatorial, geometric properties), surface selection using contour spectrum, complementary space visualization.
Application case study examples for I, II, and III
Ha obtenido financiación de la Dirección General de Política Universitaria, Ministerio de Educación, Cultura y Deporte
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