Object oriented image segmentation by means of multichannel mathematical morphology

Wuilian Torres; Ramiro Salcedo

doi:10.1117/12.864329

13 October 2010 Object oriented image segmentation by means of multichannel mathematical morphology

Wuilian Torres, Ramiro Salcedo

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 783009 (2010) https://doi.org/10.1117/12.864329
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

The generation of agro-statistics in tropical regions, using remote sensing data, is a difficult task due to the presence of high variety of crops at a given time over the same area that are not restricted by a crop calendar. The proposed segmentation is developed into two phases: spatial and spectral. The spatial segmentation is based in using multidimensional mathematical morphology for the delimitation of the objects that define each of the production segments or plots. The basic multi-dimensional morphologic operators (dilatation, erosion and gradient), were defined to be adapted to the study of agricultural areas using multi-spectral imagery. Meanwhile, the spectral segmentation is performed assigning the dominant spectral signature to each spatial segment to reduce its number using a hierarchical grouping method.

Citation Download Citation

Wuilian Torres and Ramiro Salcedo "Object oriented image segmentation by means of multichannel mathematical morphology", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783009 (13 October 2010); https://doi.org/10.1117/12.864329

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available