Extraction of binary character/graphics images from grayscale document images
CVGIP: Graphical Models and Image Processing
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Thresholding technique with adaptive window selection for uneven lighting image
Pattern Recognition Letters
A multistage adaptive thresholding method
Pattern Recognition Letters
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A new segmentation method is suggested to distinguish the foreground from the background in gray-level images. The method is based on a 2-step process, respectively employing non-topological pixel removal (nontopological erosion) and topological region growing (topological expansion). The first step is aimed at identifying suitable seeds, corresponding to the objects of interest in the image, while the second step associates to the identified seeds pixels removed during the first step, provided that fusions are not created. Segmentation is accomplished by using also information derived from a lower resolution representation of the image, with the purpose of reducing the number of foreground components to the most significant ones. Some hints regarding extension of the method to color images are also discussed.