A computational approach to edge detection
Readings in computer vision: issues, problems, principles, and paradigms
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Towards Restoring Historic Documents Degraded Over Time
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Function approximation based on fuzzy rules extracted frompartitioned numerical data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Show-through cancellation in scans of duplex printed documents
IEEE Transactions on Image Processing
Methods for written ancient music restoration
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A ground truth bleed-through document image database
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
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Access to collections of cultural heritage is increasingly becoming a topic of interest for institutions like libraries. With the easy access to information provided by technologies such as the Internet, new ways exist for consulting ancient documents without exposing them to more dangers of degradation. One of those types of documents is written ancient music. These documents suffer from multiple kinds of degradation, where bleed-through outstands as the most damaging. This paper proposes a new method based on the Takagi Sugeno fuzzy classification algorithm to classify the pixels as bleed-through, after performing a general background restoration. This method is applied to a set of double-sided ancient music documents, and the obtained results compared with methods present in the literature.