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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A detailed study of the generation of optically detectable watermarks using the logistic map
TL;DR: This paper provides a detailed study on the generation of optically detectable watermarks and provides some guidelines on successful chaotic watermark generation using the logistic map, and shows how care must be taken in the selection of the function seed.
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Multiscale recognition of legume varieties based on leaf venation images
Mónica G. Larese,Ariel E. Bayá,Roque Mario Craviotto,Miriam Raquel Arango,Carina Del Valle Gallo,Pablo M. Granitto +5 more
TL;DR: The proposed procedure takes as input leaf images acquired using a standard scanner, processes the images in order to segment the veins at different scales, and measures different traits on them, and identifies a small set of distinctive traits to differentiate the species and varieties.
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Functional Morphometric Analysis in Cellular Behaviors: Shape and Size Matter
TL;DR: In this review, the underlying principles, assumptions, and limitations of morphological characterizations are discussed and the significance, challenges, and implications of quantitative morphometric characterization of cell shapes and sizes in determining cellular functions are discussed.
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Shape matching of partially occluded curves invariant under projective transformation
Carlos Orrite,J. Elias Herrero +1 more
TL;DR: The experimental results showed that the present algorithm can cope with noisy figures, projective transformations, and complex occlusions.
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On the concept of objectivity in digital image analysis in pathology
TL;DR: A selective look at the literature on image analysis is taken to assess the definition of objectivity in image analysis and asks whether such a claim is ever justified.