Multithresholding for document image segmentation

Shriram V. Revankar

doi:10.1117/12.205817

30 March 1995 Multithresholding for document image segmentation

Shriram V. Revankar

Proceedings Volume 2422, Document Recognition II; (1995) https://doi.org/10.1117/12.205817
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Document images contain information in several dominant intensity levels. Detecting these dominant levels helps segmenting the regions in the image that need to be processed differently, if subsequently the image was to be recognized or printed. In this paper we propose a multithresholding algorithm to segment different dominant intensity levels in a document image based on intensity histogram and intensity transition histograms of the image. The method involves determining the number of dominant intensity levels in the image and computing the necessary number of thresholds that facilitate the segmentation.

Citation Download Citation

Shriram V. Revankar "Multithresholding for document image segmentation", Proc. SPIE 2422, Document Recognition II, (30 March 1995); https://doi.org/10.1117/12.205817

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