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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.

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Proceedings Article

Affine correlation

TL;DR: The method is based on certain changes of coordinates in the images and extensive use of the fast Fourier transformation (FFT), which makes the method very fast, when implemented on a computer.
Journal ArticleDOI

Extended scan depth optical coherence tomography for evaluating ocular surface shape.

TL;DR: This work demonstrates the feasibility of using extended depth SD-OCT to perform noninvasive evaluation of the ocular surface shape and described the correction of the image distortion from the segmented dataset induced by the nontelecentric scanning system.
Journal ArticleDOI

Analytical Honeycomb Geometry for Raster and Volume Graphics

TL;DR: This paper introduces two honeycomb graphical models in which the voxels are hexagonal prisms, and shows that these are the only possible models under certain reasonable conditions.
Proceedings ArticleDOI

Image Editing with Intelligent Paint

TL;DR: Intelligent Paint provides a new tool for interactively selecting image objects or regions of interest, while simultaneously applying filters or effects directly to the selection(s) by coupling adaptive cost-ordered region growing with the high-level visual expertise of the user to indicate which objects are of interest.
Journal ArticleDOI

Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data

TL;DR: It is concluded that automatic detection and discrimination of oil spill and other sea surface features can be opertionalized by using the new formula for fractal box counting.