A Multiresolution Threshold Selection Method Based on Training

Abstract

This paper presents a new training-based threshold selection method for grey level images. One of the main limitations of existing threshold selection methods is the lack of capacity of adaptation to specific vision applications. The proposed method represents a procedure to adapt threshold selection methods to specific applications. The proposed method is based on the analysis of multiresolution decompositions of the image histogram, which is supervised by fuzzy systems in which the particularities of the specific applications were introduced. The method has been extensively applied in various computer vision applications, one of which is described in this paper.