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
Robust automatic coregistration, segmentation, and classification of cell nuclei in multimodal cytopathological microscopic images.
TL;DR: In order to utilise the technique, fully automatic, adaptive image preprocessing techniques need to be applied, which are described in this article: coregistration of multimodal images, segmentation, and classification of cell nuclei.
Posted Content
Comparative analysis of common edge detection techniques in context of object extraction
Sunil Kumar Katiyar,P. V. Arun +1 more
TL;DR: A comparative study of various edge detection techniques and band wise analysis of these algorithms in the context of object extraction with regard to remote sensing satellite images from the Indian Remote Sensing Satellite (IRS) sensors LISS 3, LISS 4 and Cartosat1 as well as Google Earth is presented.
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An image-based feature tracking algorithm for real-time measurement of clad height
TL;DR: A novel algorithm for real-time detection of clad height in laser cladding which is known as a layered manufacturing technique and can detect the clad height independent from clad paths with about 12% maximum error is presented.
Journal ArticleDOI
A video analysis procedure for assessing vertical fish distribution in aquaculture tanks
TL;DR: An economical and efficient video analysis procedure for registering vertical fish distribution in aquaculture tanks that can be used to document how fish in a classical conditioning learning procedure react to a sudden fright stressor in the first trial and how the fish gradually become habituated to the stressor and start to associate it with feeding in subsequent trials is described.
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An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery
TL;DR: This paper presents an effective and efficient method for detecting and mapping potential vernal pools using stochastic depression analysis with additional geospatial analysis that may reduce inconsistencies and alleviate repeatability concerns associated with manual photointerpretation methods.