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
An electrostatic deformable model for medical image segmentation.
TL;DR: A new deformable model that uses the simulation of charged elements to segment medical images and is a promising approach for the segmentation of anatomic structures in a wide variety of medical images across different modalities is indicated.
Proceedings ArticleDOI
Vision based shape estimation for continuum robots
M.W. Hannan,Ian D. Walker +1 more
TL;DR: This paper presents a shape-determining scheme that is based on machine vision that uses a high speed camera, an engineered environment, and image processing to determine the shape of a continuum robot called the Elephant's Trunk Manipulator.
Journal ArticleDOI
A genetic algorithm for locating optimal sites on raster suitability maps
TL;DR: A genetic algorithm is described which uses a parameterized regiongrowing program to translate numeric strings into regions on a raster and employs raster GIS functions to evaluate utility scores and thereby locates optimal sites.
Journal ArticleDOI
Image processing of grinding wheel surface.
Zhengming Feng,Xun Chen +1 more
TL;DR: In this article, a new method that detects and identifies the chip loading and cutting edge wear of a grinding wheel using the image processing toolbox of MATLAB is presented, where different optical characters of the metal chips and the abrasive grains are analyzed.
Journal ArticleDOI
A minimax framework for classification with applications to images and high dimensional data
TL;DR: A minimax framework for multiclass classification, applicable to general data including, in particular, imagery and other types of high-dimensional data, which often outperforms the state-of-the-art classification methods such as the support vector machine in accuracy.