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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Proceedings ArticleDOI
Time-continuous segmentation of cardiac MR image sequences using active appearance motion models
Steven C. Mitchell,Boudewijn P. F. Lelieveldt,Rob J. van der Geest,Hans G. Bosch,Johan H. C. Reiber,Milan Sonka +5 more
TL;DR: A novel 2D+time Active Appearance Motion Model (AAMM) that represents the dynamics of the cardiac cycle in combination with shape and image appearance of the heart, ensuring a time-continuous segmentation of a complete cardiac MR sequence.
Journal ArticleDOI
On indexing the periodicity of image textures
TL;DR: A new way to index the periodicity of image textures is described, suggesting that a texture's periodicity can be further divided into two aspects — the regularity of the placement of its texels and the similarity among the texels.
Journal ArticleDOI
Motion deblurring of infrared images from a microbolometer camera
TL;DR: In this article, the point spread function of a microbolometer camera is determined and the impact of the blurring from objects of different sizes is investigated, in order to suppress the noise in the restoration, a Wiener filter is used.
Journal ArticleDOI
Entropic Approach to Edge Detection for SST Images
TL;DR: In this article, a new method for the detection of mesoscale structures in sea surface temperature (SST) satellite images, to be used in different applications such as climatic and environmental studies or fisheries, is presented.
Posted Content
Formal Verification of CNN-based Perception Systems.
TL;DR: This work defines a notion of local robustness based on affine and photometric transformations that cannot be captured by previously employed notions of robustness and presents an implementation and experimental results obtained.