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
Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network
TL;DR: This paper proposes a new method for reducing the number of colors in an image that uses both the image color components and local image characteristics to feed a Kohonen self‐organized feature map (SOFM) neural network.
Journal ArticleDOI
Automated and Unbiased Image Analyses as Tools in Phenotypic Classification of Small-Spored Alternaria spp.
TL;DR: Together results of growth rates at different temperatures, colony morphology, and metabolite profiles were found to be useful in characterization and differentiation of small-spored Alternaria spp.
Journal ArticleDOI
Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment
TL;DR: The BRCA1/BRCA2 gene mutation carriers and low-risk women have different mammographic parenchymal patterns, and it is expected that women identified as high risk by computerized feature analyses might potentially be more aggressively screened for breast cancer.
Proceedings ArticleDOI
Integration of measurement tools in medical 3d visualizations
TL;DR: The design and implementation of measurement tools to measure distances, angles and volumes in 3d visualizations and how some important measurement tasks may be solved automatically are described.
Journal ArticleDOI
Computer-Vision System for Control of Drying Processes
TL;DR: Experimental study of the CVS for ginseng drying showed advantages of computer-vision for online monitoring of important state variables, such as moisture content and material quality, as well as stability and robustness of control strategy.