Segmentation of soil section images using connected operators

Author

Sofou, Anastasia ; Tzafestas, Costas ; Maragos, Petros

Author_Institution

Dept. Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1087

Abstract

Segmentation of soil section images is an important task for automating the measurement of the grains´ properties as well as for detecting and recognizing objects in the soil, important for its bioecological quality. We apply several types of morphological systems to watershed-based segmentation of soil section images. We use efficient connected operators such as reconstruction open-closing and area open-closing as well as some relatively new operators, the levelings, for image denoising, simplification and feature/marker extraction. Further, we introduce an improvement of the reconstruction operators used in segmentation, based on a generalized multiscale connectivity analysis

Keywords

feature extraction; geophysical signal processing; image reconstruction; image segmentation; mathematical morphology; object detection; object recognition; soil; area open-closing; bioecological quality; connected operators; feature extraction; image denoising; image simplification; levelings; marker extraction; morphological systems; object detection; object recognition; reconstruction open-closing; soil grain properties; soil section image segmentation; watershed-based segmentation; Feature extraction; Image denoising; Image edge detection; Image recognition; Image reconstruction; Image segmentation; Noise reduction; Object detection; Shape; Soil measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958316

Filename

958316