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
Towards invariant face recognition
TL;DR: A face recognition method that can cope with the variations due to the changes in lighting and pose is presented and an algorithm is proposed which applies an embossing operator to the detected face images to remove the illumination effects.
Journal ArticleDOI
A simple generalized neuro-fuzzy operator for efficient removal of impulse noise from highly corrupted digital images
M. Emin Yüksel,Alper Basturk +1 more
TL;DR: In this paper, a generalized neuro-fuzzy (NF) operator for removing impulse noise from highly corrupted digital images is presented, which is constructed by combining a desired number of NF filters with a postprocessor.
Proceedings ArticleDOI
Visual odometer for pedestrian navigation
TL;DR: A new method based on the knowledge of gait analysis to capture images at the same stage of walking cycle is introduced, which leads to less winding trajectory, which can be tracked without increasing order and computational cost of the tracker.
Journal ArticleDOI
Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data
Ehsan Farahbakhsh,Rohitash Chandra,Hugo K.H. Olierook,Richard Scalzo,Chris D. Clark,Steven M. Reddy,R. Dietmar Müller +6 more
TL;DR: The extraction of tectonic lineaments from digital satellite data is a fundamental application in remote sensing as mentioned in this paper, and the location of fault and dyke locations are of interest for a variety of remote sensing applications.
Journal ArticleDOI
Directly computing the generators of image homology using graph pyramids
TL;DR: A method for computing homology groups and their generators of a 2D image, using a hierarchical structure, i.e. irregular graph pyramid, is introduced and it is shown that the new method produces valid homology generators.