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
Cloud Classification Based on Structure Features of Infrared Images
TL;DR: Wang et al. as mentioned in this paper extracted several structural features from the segment image and edge image, such as cloud gray mean value (ME), cloud fraction (ECF), edge sharpness (ES), and cloud mass and gap distribution parameters, which are useful for distinguishing cirriform, cumuliform, and waveform clouds.
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Classification of parenchymal abnormality in scleroderma lung using a novel approach to denoise images collected via a multicenter study.
Hyun J. Kim,Gang Li,David W. Gjertson,Robert Elashoff,Sumit K. Shah,Robert A. Ochs,Fah Vasunilashorn,Fereidoun Abtin,Matthew S. Brown,Jonathan G. Goldin +9 more
TL;DR: Analyzing multicenter data using a denoising approach led to more parsimonious classification models with increasing accuracy and offers the potential to discriminate the multiple patterns of scleroderma disease correctly.
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Shape recognition using fractal geometry
G Neil,K.M Curtis +1 more
TL;DR: Within this paper fractal transformations are presented as a powerful new shape recognition technique and it becomes apparent that the fractal recognition technique possesses the remarkable property that it is able to distinguish between similar objects.
Journal ArticleDOI
Mapping computer vision research in construction: Developments, knowledge gaps and implications for research
TL;DR: A detailed bibliometric and scientometric analysis of the normative literature from 2000 to 2018 identified the primary areas where computer vision has been applied, including defect inspection, safety monitoring, and performance analysis.
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CT Quantification and Machine-learning Models for Assessment of Disease Severity and Prognosis of COVID-19 Patients.
Wenli Cai,Tianyu Liu,Xing Xue,Guibo Luo,Xiaoli Wang,Yihong Shen,Qiang Fang,Jifang Sheng,Feng Chen,Tingbo Liang +9 more
TL;DR: CT quantification and machine-learning models shows great potentials for assisting decision-making in the management of COVID-19 patients by assessing disease severity and predicting outcomes and were significantly higher than both radiomics models and clinical models.