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
A neural network-based method for tracking features from satellitesensor images
S. Cote,Adrian Tatnall +1 more
TL;DR: A new approach for feature tracking on sequential satellite sensor images using neural networks has been developed, which defines the correspondence problem between features as the minimization of a cost function using a Hopfield neural network.
Journal ArticleDOI
Scene analysis by integrating primitive segmentation and associative memory
DeLiang Wang,Xiuwen Liu +1 more
TL;DR: The model is a multistage system that consists of an initial primitive segmentation stage, a multimodule associative memory, and a short-term memory (STM) layer, and the role of STM in producing context sensitivity of memory recall is discussed.
Journal ArticleDOI
A novel artificial neural networks assisted segmentation algorithm for discriminating almond nut and shell from background and shadow
TL;DR: An effective method based on a combined image processing and machine learning was presented and evaluated for segmenting almond images with different classes such as normal almond, broken and split almond, shell of almond, wrinkled almond and doubles or twins almond.
Journal ArticleDOI
Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey
Tiago M. C. Simões,Daniel Simões Lopes,Sérgio Dias,Francisco Fernandes,João Pereira,João Pereira,Joaquim Jorge,Joaquim Jorge,Chandrajit L. Bajaj,Abel J. P. Gomes +9 more
TL;DR: In this article, the authors survey the literature on protein cavity detection and classify algorithms into three categories: evolution-based, energy-based and geometry-based algorithms, whose taxonomy is extended to include not only sphere-, grid-, and tessellation-based methods, but also surfacebased, hybrid geometric, consensus and time-varying methods.
Book ChapterDOI
Image Processing and CGP
TL;DR: This chapter presents three applications in which CGP can automatically generate novel image processing algorithms that compare to or exceed the best known conventional solutions.