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
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Book ChapterDOI
Computer Aided Diagnosis - Medical Image Analysis Techniques
Bhagirathi Halalli,Aziz Makandar +1 more
TL;DR: The proposed CAD system addresses the several steps such as preprocessing, segmentation, feature extraction, and classification of breast cancer detection and classification, and presents some advanced techniques in medical imaging to overcome these difficulties.
Journal ArticleDOI
Bayesian Environment Representation, Prediction, and Criticality Assessment for Driver Assistance Systems
TL;DR: Parametric Free Space maps are introduced, which compactly represent the vehicle environment in form of relevant, drivable free space, and a maneuver-based, long-term trajectory prediction and criticality assessment system is introduced.
Journal ArticleDOI
Probabilistic analysis of turbulent structures from two-dimensional plasma imaging
Stefan Müller,Ahmed Diallo,Ambrogio Fasoli,Ivo Furno,Benoit Labit,Gennady Plyushchev,Mario Podesta,Francesca Poli +7 more
TL;DR: Fasoli et al. as discussed by the authors constructed object-related structure observables, such as size, mass, shape, and trajectories from two-dimensional plasma imaging data, and derived the probability distributions of these observables from measurements of many realizations.
What is New in Computational Stereo Since 1989: A Survey on Current Stereo Papers
TL;DR: The objective of this report is to show and to categorize what is new in stereo research since 1989, and to survey 86 current stereo papers.
Journal ArticleDOI
Morphology-based text line extraction
TL;DR: This paper presents a morphology-based text line extraction algorithm for extracting text regions from cluttered images that improves the state-of-the-art work in terms of effectiveness and robustness for text line detection.