Value of image information categories and its importance for development and application of digital image processing systems

Author

Wieczorek, Ulrick

Author_Institution

Lehrstuhl fur Didaktik der Geogr., Augsburg Univ., Germany

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

601

Abstract

The values of the information categories “density”, “texture” and “contour” correlates with the information loss caused by the reduction of the image scale. For large scales the information loss of the category “density” is greater than the information loss of the categories “texture” and “contour”. This is reverse for small scales. For different amounts of density ranges an estimation of scale numbers is done for which this reverse case is valid

Keywords

correlation methods; edge detection; image colour analysis; image texture; correlation; density ranges; digital image processing systems; image analysis; image colour; image contour; image density; image information categories; image scale reduction; image shape analysis; image texture; information loss; remote sensing systems; scale number estimation; Digital images; Humans; Image analysis; Image texture analysis; Large-scale systems; Shape; Statistical analysis; Statistical distributions; Statistics; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560933

Filename

560933