Title :
Erosion After Gradient (ErAGrad) morphological profile
Author :
Bellens, Rik ; Gautama, Sidharta
Author_Institution :
Dept. for Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
Abstract :
Morphological profiles [1, 2] have been proven useful for classification and segmentation of remote sensed images. A morphological profile contains information about the size and shape of objects in an image. However, the profile of a pixel not only depends on the geometry of the object it belongs to, but also on whether it is a bright, dark or gray object. Moreover, morphological profiles are not easily extendable to color images. Different attempts have been made, but they either require an artificial ordening of the colors or create profiles for every color band. This makes it more difficult to interpret the morphological profile. In this paper we propose a new kind of morphological profile, the ErAGrad profile. This profile contains a single value for each pixel on each scale. The ErA-Grad profile is easily interpretable and does not depend on the color of the object or the color of the background, but only on the difference between both.
Keywords :
geophysical signal processing; image classification; image colour analysis; image segmentation; remote sensing; ErAGrad profile; artificial color ordening; color images; erosion after gradient morphological profile; image background color; image object color; image object shape; image object size; remotely sensed image classification; remotely sensed image segmentation; Color; Electronic mail; Geometry; Image resolution; Image segmentation; Information processing; Remote sensing; Roads; Satellites; Shape measurement;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5418079