Choosing the number of labels in image segmentation
|Publication status||Published - 2011|
|Event||Emerging Technologies and Factory Automation - Toulouse, France|
Duration: 05 Sept 2011 → 09 Sept 2011
Conference number: 16
|Conference||Emerging Technologies and Factory Automation|
|Period||05 Sept 2011 → 09 Sept 2011|
Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.