scispace - formally typeset
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

Citations
More filters
Book

Color Imaging: Fundamentals and Applications

TL;DR: In this article, color theory is explained from its origin to the current state of the art, including image capture and display as well as the practical use of color in disciplines such as computer graphics, computer vision, photography, and film.
Proceedings ArticleDOI

Analysis of Features for Rigid Structure Vehicle Type Recognition

TL;DR: It is demonstrated that a relatively simple set of features extracted from sections of car front images can be used to obtain high performance verification and recognition of vehicle type (both car model and class) for secure access and traffic monitoring applications.
Journal ArticleDOI

Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty

TL;DR: Polarimetric IRGS (PolarIRGS) extends IRGS by incorporating a polarimetric feature model based on the Wishart distribution and modifying key steps such as initialization, edge strength computation, and the region growing criterion.
Journal ArticleDOI

Integrating remote sensing observations of flood hydrology and hydraulic modelling

TL;DR: In this paper, a case study of a two-dimensional finite element model applied to the Missouri River, Nebraska and compared with a synchronous Landsat TM image of flood inundation extent is presented.
Journal ArticleDOI

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

TL;DR: A review of the state of art techniques used in computer-aided diagnostic systems for dermoscopy, by giving the domain aspects of melanoma followed by the prominent Techniques used in each of the steps, and presents cognizance to judge the consequentiality of every methodology utilized in the literature.