Sciweavers

Share
ACIVS
2008
Springer

Towards Fully Automatic Image Segmentation Evaluation

10 years 2 months ago
Towards Fully Automatic Image Segmentation Evaluation
Spatial region (image) segmentation is a fundamental step for many computer vision applications. Although many methods have been proposed, less work has been done in developing suitable evaluation methodologies for comparing different approaches. The main problem of general purpose segmentation evaluation is the dilemma between objectivity and generality. Recently, figure ground segmentation evaluation has been proposed to solve this problem by defining an unambiguous ground truth using the most salient foreground object. Although the annotation of a single foreground object is less complex than the annotation of all regions within an image, it is still quite time consuming, especially for videos. A novel framework incorporating background subtraction for automatic ground truth generation and different foreground evaluation measures is proposed, that allows to effectively and efficiently evaluate the performance of image segmentation approaches. The experiments show that the objec...
Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where ACIVS
Authors Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa Karaman, Roland Mörzinger, Eric Galmar, Thomas Sikora, Noel E. O'Connor, Thien Ha-Minh, Touradj Ebrahimi, Peter Schallauer, Benoit Huet
Comments (0)
books