A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Fundamentals of signals and systems using MATLAB
Fundamentals of signals and systems using MATLAB
Digital Image Processing
Binarizing and filtering historical documents with back-to-front interference
Proceedings of the 2006 ACM symposium on Applied computing
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This paper presents a digital signal processing tool developed using MatlabTM, which provides a very low-cost and effective strategy for analog-to-digital conversion of legated paper biomedical maps without requiring dedicated hardware. This software-based approach is particularly helpful for digitalizing biomedical signals acquired from analogical devices equipped with a plottingter. Albeit signals used in biomedical diagnosis are the primary concern, this imaging processing tool is suitable to modernize facilities in a non-expensive way. Legated paper ECG and EEG charts can be fast and efficiently digitalized in order to be added in existing up-to-date medical data banks, improving the follow-up of patients.