1982 | OriginalPaper | Buchkapitel
Processing of Gray Scale Images
verfasst von : Theo Pavlidis
Erschienen in: Algorithms for Graphics and Image Processing
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
There are two major types of gray scale image processing: within class transformations, such as filtering and image enhancement, and class 1 image to class 2 image transforms, such as segmentation. Most methods for performing such processing use, directly or indirectly, statistics computed on images. We shall discuss two of them, the histogram of distribution of gray levels (in Section 3.2), and the cooccurrence matrix of pairs of gray levels at pixel pairs (in Section 3.3). Their applications in filtering are discussed in Sections 3.4 and 3.5, while their use for segmentation is presented in the next chapter.