Книга: Mohamed A. El-Sayed «Algorithms for Image Thresholding»
|
Производитель: "LAP Lambert Academic Publishing" Thresholding is an important and effective step in almost all areas of image processing. It is a main tool in pattern recognition, image segmentation, edge detection and scene analysis. In this book, we talk about different applications of thresholding such as: acoustic signal processing, muscle activity detection in EMG signal analysis, optical character recognition and character image extraction, image thresholding of historical documents, color applications, non destructive testing applications,forest fire detection, medical imaging, biometric application, satellite imaging, and object detection. In this way, we present Histogram shape, clustering, entropy-based thresholding method and types of entropy. Also we discuss many thresholding algorithms such as: Algorithms based on attribute similarity, spatial thresholding methods, and locally adaptive thresholding methods. In addition, we present a thresholding technique based on 2D Tsallis entropy. The effectiveness of the... ISBN:9783659128004 Издательство: "LAP Lambert Academic Publishing" (2012)
ISBN: 9783659128004 |
Другие книги схожей тематики:
| Автор | Книга | Описание | Год | Цена | Тип книги |
|---|---|---|---|---|---|
| Siddhartha Bhattacharyya | Hybrid Intelligence for Image Analysis and Understanding | A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the… — John Wiley&Sons Limited, электронная книга Подробнее... | 10810.32 | электронная книга |
См. также в других словарях:
Thresholding (image processing) — Thresholding is the simplest method of image segmentation. From a grayscale image, thresholding can be used to create binary images .During the thresholding process, individual pixels in an image are marked as “object” pixels if their value is… … Wikipedia
Maximally stable extremal regions — Feature detection Output of a typical corner detection algorithm … Wikipedia
Connected-component labeling — (alternatively connected component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given… … Wikipedia
Cut detection — is a field of research of computer science. Its subject is the automated detection of cuts in digital video. Use Cut detection is used to split up a film into basic scenes. Therefore, it is of great use in software for post production of videos.… … Wikipedia
Neuronstudio — is a non commercial program created at Mt. Sinai School of Medicine by the Computational Neurobiology and Imaging Center. This program is designed to allow automatic tracing and reconstruction of neuron structures from confocal image stacks.… … Wikipedia
Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm … Wikipedia
