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
Prospects of Computer Vision Automated Grading and Sorting Systems in Agricultural and Food Products for Quality Evaluation
V. G. Narendra,K. S. Hareesh +1 more
TL;DR: Different approaches based on image analysis and processing identified is related to variety of applications in agricultural and food products.
Journal ArticleDOI
Methods for assessing the quality of mammalian embryos: How far we are from the gold standard?
José Celso Rocha,Felipe José Passalia,Felipe Delestro Matos,Marc Peter Maserati,Mayra Fernanda Alves,Tamie Guibu De Almeida,Bruna Lopes Cardoso,Andrea Cristina Basso,Marcelo Fábio Gouveia Nogueira +8 more
TL;DR: Several techniques shows promising results, one being the use of digital images of the embryo as basis for features extraction and classification by means of artificial intelligence techniques (as genetic algorithms and artificial neural networks), which has the potential to become an accurate and objective standard for embryo quality assessment.
Journal Article
Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms
TL;DR: The main goal of the research was designing and realization of a system for automatic detection and classification of microcalcifications, taking advantage of proposed automatic feature selection algorithm.
Journal ArticleDOI
A Push-Pull CORF Model of a Simple Cell with Antiphase Inhibition Improves SNR and Contour Detection
TL;DR: The proposed push-pull CORF model is a contribution to a better understanding of how visual information is processed in the brain as it provides the ability to reproduce a wider range of properties exhibited by real simple cells.
Journal ArticleDOI
Quantitative analysis of retinal OCT.
Milan Sonka,Michael D. Abràmoff +1 more
TL;DR: Examples provided in this paper focus on image-guided therapy and outcome prediction in age-related macular degeneration and on assessing visual function from retinal layer structure in glaucoma.