Modified Stable Euler-Number Algorithm Implementation for Real-Time Image Binarization, Journal of Real Time Image Processing ยท Mar 1, 2014

The Stable Euler-Number based image binarization has been shown to give excellent visual results for images containing high amount of image noise. Being computationally expensive, its applications are limited mostly to general-purpose processors and in application specific integrated circuits. In this paper a modified Stable Euler-Number based algorithm for image binarization is proposed and its real-time hardware implementation in a Field Programmable Gate Array with a pipelined architecture is presented. The proposed modifications to the algorithm facilitate hardware implementation. The end result is a design that out-performs known software implementations. The number of noisy pixels introduced during the binarization process is also minimized. Despite the Stable Euler-Number based image binarization being computationally expensive, our simulations show that the proposed architecture gives accurate results and this in real time and without consuming all chip resources.
(DOI: 10.1007/s11554-012-0296-z)

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