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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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Journal ArticleDOI

Segmentation of wall and plaque in in vitro vascular MR images.

TL;DR: A computerized method for segmentation of arterial wall layers and plaque from high-resolution volumetric MR images using dynamic programming to detect optimal borders in each MRI frame is reported.
Journal ArticleDOI

Automated measurements of fish within a trawl using stereo images from a Camera-Trawl device (CamTrawl)

TL;DR: In this paper, a stereo-camera system installed in a large trawl (CamTrawl) was used to automatically measure fish from images taken using a stereo camera system installed inside the trawl.
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Shallow water benthic imaging and substrate characterization using recreational-grade sidescan-sonar

TL;DR: Methods to carry out geometric and radiometric correction and georectification of sonar echograms are presented, based on simplified models for sonar-target geometry and acoustic backscattering and attenuation in shallow water.
Journal ArticleDOI

Smart sensor for real-time quantification of common symptoms present in unhealthy plants.

TL;DR: An FPGA-based smart sensor able to perform non-destructive, real-time and in-situ analysis of leaf images to quantify multiple symptoms presented by diseased and malnourished plants is reported; this system can serve as indicator of the health and nutrition in plants.
Journal ArticleDOI

Modeling salt diffusion in Iberian ham by applying MRI and data mining

TL;DR: MRI, computational algorithms and data mining allow determining salt diffusion in Iberian hams in a non-destructive way and are useful to differentiate the images of different muscles and stages of processing.