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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.

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Proceedings ArticleDOI

Online estimation of image Jacobian matrix by Kalman-Bucy filter for uncalibrated stereo vision feedback

TL;DR: A Kalman-Bucy filter is used to estimate the state variables of the constructed system online, which is robust to system noise and external disturbances, and effectiveness of the proposed method and satisfactory tracking process can be found from extensive simulations and experiments provided.
Book ChapterDOI

The surround Imager™: a multi-camera touchless device to acquire 3d rolled-equivalent fingerprints

TL;DR: The Surround ImagerTM, an innovative multi-camera touchless device able to capture rolled-equivalent fingerprints, is presented for the first time in this article, due to the lack of contact between the elastic skin of the finger and any rigid surface, the acquired images present no deformation.
Journal ArticleDOI

Autonomous rendezvous and robotic capturing of non-cooperative target in space

TL;DR: The CP&C algorithm, which is proved to be advantageous over the traditional separated method, was used to plan and track the trajectories of the base pose and the joint angle and a 3D simulation system was developed to evaluate the proposed method.
Journal ArticleDOI

Coastline extraction from SAR images using spatial fuzzy clustering and the active contour method

TL;DR: An efficient approach to extracting coastlines from high-resolution SAR images based on an active contour model that does not require preprocessing for SAR speckle reduction and the ability to extract the coastline at full resolution of the input SAR image without degrading the resolution is presented.
Journal ArticleDOI

Deep gray matter and fatigue in MS: a T1 relaxation time study.

TL;DR: In this paper, the mean T1 relaxation time (T1) was measured for the thalamus, putamen and caudate nucleus in 52 relapsing-remitting multiple sclerosis (RRMS) patients and 19 healthy volunteers.