Local Contrast Segmentation to Binarize Images

In this paper, a new binarization algorithm for degraded document images is proposed. The method is based on positive and negative pixel energies using the Laplacian ofan image. After a filtering step and morphological perationsour local contrast segmentation method is able to detectingconnected components. The given approach is applied to casesof sophisticated, challenging documents and other application scenarios like whiteboard and chalk images.

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