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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Cascaded classification of high resolution remote sensing images using multiple contexts
Jun Guo,Hui Zhou,Changren Zhu +2 more
TL;DR: A novel cascaded classification approach by exploiting various contexts on different levels for high resolution remote sensing (HRRS) images and using an object's neighbor context to bridge the gap between its inner context and its scene context.
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Spatio-temporal scales of dispersal limitation in the recolonization of a semi-arid mediterranean old-field
TL;DR: Investigating spatial and temporal scales of dispersal limitation in a system of semi-arid Mediterranean old-fields recolonized by the dominating dwarf shrub Sarcopoterium spinosum concludes that dispersed limitation may have a long-term impact on vegetation patterns, even at small spatial scales.
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Microtubule Dynamics Analysis Using Kymographs and Variable-Rate Particle Filters
TL;DR: A new probabilistic method is proposed to segment the traces of the moving objects in kymograph representations of the image data based on variable-rate particle filtering and uses multiscale trend analysis of the extracted traces to estimate the relevant kinematic parameters.
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Automated lung segmentation and computer-aided diagnosis for thoracic CT scans
Samuel G. Armato,Heber MacMahon +1 more
TL;DR: This work has developed an automated lung segmentation method based on gray-level thresholding techniques and applied this method as a pre-processing step for automated lung nodule detection and as the foundation for a computer-assisted technique to measure the extent of pleural mesothelioma.
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Photometric imaging in particle size measurement and surface visualization
TL;DR: The aim of this paper is to give an insight into photometric particle sizing approaches, which differ from the typical particle size measurement of dispersed particles, which can often be advantageous especially for samples that are moist or cohesive.