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Selection of Edge Detection Techniques Based on Machine Learning Approach

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Proceedings of Research and Applications in Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1355))

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Abstract

Machine Learning (ML) plays an important role in Image Processing where we can apply different algorithms of ML for better analysis of an image. In this communication, we present that the application of ML may help in selecting a particular edge detection technique for image analysis. We consider various components of confusion matrix and other parameters to assess different edge detection techniques.

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References

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Correspondence to Dipankar Majumdar .

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Santra, S., Majumdar, D., Mandal, S. (2021). Selection of Edge Detection Techniques Based on Machine Learning Approach. In: Pan, I., Mukherjee, A., Piuri, V. (eds) Proceedings of Research and Applications in Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1355. Springer, Singapore. https://doi.org/10.1007/978-981-16-1543-6_13

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