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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Visualizing Big Data with augmented and virtual reality: challenges and research agenda
TL;DR: A classification of existing data types, analytical methods, visualization techniques and tools, with a particular emphasis placed on surveying the evolution of visualization methodology over the past years is provided, and disadvantages of existing visualization methods are revealed.
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Medical Image Segmentation Methods, Algorithms, and Applications
Alireza Norouzi,Mohd Shafry Mohd Rahim,Ayman Altameem,Tanzila Saba,Abdolvahab Ehsani Rad,Amjad Rehman,Mueen Uddin +6 more
TL;DR: The latest segmentation methods applied in medical image analysis are described and the advantages and disadvantages of each method are described besides examination of each algorithm with its application in Magnetic Resonance Imaging and Computed Tomography image analysis.
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Computer recognition of regional lung disease patterns.
Renuka Uppaluri,Eric A. Hoffman,Milan Sonka,Patrick G. Hartley,Gary W. Hunninghake,Geoffrey McLennan +5 more
TL;DR: An objective, reproducible, and automated means for the regional evaluation of the pulmonary parenchyma from computed tomography (CT) scans is developed and performs as well as experienced human observers who have been told the patient diagnosis.
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Tracking leukocytes in vivo with shape and size constrained active contours
Scott T. Acton,Klaus Ley +1 more
TL;DR: This paper introduces a significant enhancement over existing gradient-based snakes in the form of a modified gradient vector flow that can track leukocytes rolling at high speeds that are not amenable to tracking with the existing edge-based techniques.
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Segmentation and interpretation of MR brain images. An improved active shape model
Nicolae Duta,Milan Sonka +1 more
TL;DR: A novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM's) and incorporates a priori knowledge about shapes of the neuroanatomic structures to provide their robust segmentation and labeling in magnetic resonance (MR) brain images.