Open AccessBook
Image Processing: Analysis and Machine Vision
TLDR
The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.Abstract:
List of Algorithms. Preface. Possible Course Outlines. 1. Introduction. 2. The Image, Its Representations and Properties. 3. The Image, Its Mathematical and Physical Background. 4. Data Structures for Image Analysis. 5. Image Pre-Processing. 6. Segmentation I. 7. Segmentation II. 8. Shape Representation and Description. 9. Object Recognition. 10. Image Understanding. 11. 3d Geometry, Correspondence, 3d from Intensities. 12. Reconstruction from 3d. 13. Mathematical Morphology. 14. Image Data Compression. 15. Texture. 16. Motion Analysis. Index.read more
Citations
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Journal ArticleDOI
SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging.
Arik Girsault,Tomas Lukes,Tomas Lukes,Azat Sharipov,Stefan Geissbuehler,Marcel Leutenegger,Wim Vandenberg,Peter Dedecker,Johan Hofkens,Theo Lasser +9 more
TL;DR: This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion and demonstrates the performance of the simulation tool by comparing simulated results with experimentally acquired data.
Journal ArticleDOI
Fusion of angiography and intravascular ultrasound in vivo: establishing the absolute 3-D frame orientation
TL;DR: Data fusion of biplane angiography and intravascular ultrasound facilitates geometrically correct reconstruction of coronary vessels and an automated approach to determination of correct IVUS image orientation in three-dimensional space is reported.
Journal ArticleDOI
A neural network architecture for automatic segmentation of fluorescence micrographs
TL;DR: A system for the automatic segmentation of fluorescence micrographs is presented, in the first step, positions of fluorescent cells are detected by a fast learning neural network, which acquires the visual knowledge from a set of training cell-image patches selected by the user.
Journal ArticleDOI
Automated nuclei segmentation of malignant using level sets
TL;DR: A new method to detect and segment nuclei to determine whether they are malignant or not is proposed and reveals the high performance and accuracy in comparison to the techniques reported in literature.
Posted Content
CURE: A Security Architecture with CUstomizable and Resilient Enclaves
Raad Bahmani,Ferdinand Brasser,Ghada Dessouky,Patrick Jauernig,Matthias Klimmek,Ahmad-Reza Sadeghi,Emmanuel Stapf +6 more
TL;DR: CURE is proposed, the first security architecture, which tackles design challenges by providing different types of enclaves, and enables the exclusive assignment of system resources, e.g., peripherals, CPU cores, or cache resources to single enclaves.