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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

Image edge detection algorithm based on improved Canny operator

TL;DR: Experimental results show that the improved Canny operator can filter the salt & pepper noise effectively, improve the accuracy of edge detection, and achieve an ideal effect of edge Detection.
Journal ArticleDOI

Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations

TL;DR: A framework that merges classical ideas borrowed from scale-space and multiresolution segmentation with nonlinear partial differential equations is introduced and a tree of coherent segments is constructed based on relationships between different scale layers.
Journal ArticleDOI

Automated reconstruction of curvilinear fibres from 3D datasets acquired by X‐ray microtomography

TL;DR: A technique has been developed for tracing fibres within 3D datasets acquired by X‐ray microtomography and this has been applied to a glass fibre reinforced composite and also a non‐woven textile sample, successfully reconstructed and their fibre orientation distributions calculated.
Journal ArticleDOI

Automatic soccer players tracking in goal scenes by camera motion elimination

TL;DR: A novel and effective algorithm for tracking soccer players in goal scenes, by eliminating fast camera motions effect through the correspondence between line marks in soccer field model and image sequences is proposed.
Journal Article

Model-based conifer-crown surface reconstruction from high-resolution aerial images

TL;DR: In this article, a model-based approach for reconstructing conifer-crown surfaces is proposed based on the fact that most conifer crowns are a form of solid geometry.