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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Journal ArticleDOI
Moving object segmentation in Daubechies complex wavelet domain
TL;DR: A new method for segmentation of moving object which is based on double change detection technique applied on Daubechies complex wavelet coefficients of three consecutive frames is introduced to have high degree of segmentation accuracy than the other state-of-the-art methods.
Journal ArticleDOI
An automated industrial conveyor belt system using image processing and hierarchical clustering for classifying marble slabs
TL;DR: A new electro-mechanical system, which automatically classifies marble slabs while they are on a conveyor belt and groups them with the help of a control mechanism, is proposed, and a new hierarchical clustering approach is introduced for quality classification without requiring a training set.
Journal ArticleDOI
Gray-Level Reduction Using Local Spatial Features
TL;DR: The proposed approach achieves gray-level reduction using both the image gray-levels and additional local spatial features using a self-organized neural network classifier.
BookDOI
Simultaneity : temporal structures and observer perspectives
TL;DR: In this paper, Schmidt et al. present an endo-perspective of temporal structures in the context of an endonomics-based approach to the economic crisis and its consequences.
Proceedings ArticleDOI
Unsupervised segmentation of surface defects
TL;DR: A segmentation scheme to detect surface defects is proposed that makes use of the Voronoi set of each map unit and defines a new rule for finding the best-matching map unit.