A method for detecting artificial objects in natural environments

Author

Caron, Y. ; Makris, P. ; Vincent, N.

Author_Institution

LI/E31, Univ. de Tours, France

Volume

1

fYear

2002

fDate

2002

Firstpage

600

Abstract

In this paper we present a method for automatic detection of man-made objects in digital images representing natural environments. This method is based on statistical distribution of texture patterns in the image. This distribution is computed using Zipf´s law. The image is divided into sub-frames and Zipf´s distribution is computed for each sub-frame. Then the surfaces under Zipf´s plots of the different sub-frames are compared in order to determine which sub-frame contains an object. The sensitivity of this detection method to image resolution is also examined.

Keywords

filtering theory; image coding; image segmentation; image texture; natural scenes; object detection; Zipf distribution; Zipf law; artificial object detection; automatic man-made object detection; digital images; edge detection filtering; image coding improvements; image resolution; image sub-frames; natural environments; object detection sensitivity; texture pattern statistical distribution; Application software; Computer vision; Frequency; Image resolution; Manufacturing; Object detection; Object recognition; Satellites; Shape; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2002. Proceedings. 16th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-1695-X

Type

conf

DOI

10.1109/ICPR.2002.1044812

Filename

1044812