Application of Watershed Algorithm in Digital Image Processing-Reference-Cited by-同舟云学术

Application of Watershed Algorithm in Digital Image Processing

Published:2022-09-22 Issue: Volume: Page:401-410
ISSN:2367-3370
Container-title:Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering
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Author:

Sekhar Mohanty Sumant,Tripathy Sushreeta

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2225-1_36

Reference19 articles.

1. Kornilov, A. S., & Safonov, I. V. (2018). An overview of watershed algorithm im- plementations in open source libraries. Journal of Imaging , 4(10), 123.

2. Tripathy, S., & Swarnkar, T. (2020). Application of big data problem solving framework in healthcare sector- recent advancement. Intelligent and cloud computing. Springer.

3. Tripathy, S., & Swarnkar, T. (2019). Imaging and machine learning techniques used for early identification of cancer in breast mammogram. International Journal of Recent Technology and Engineering, 7376–7383.

4. Tripathy, S., & Swarnkar, T. (2020). Investigation of the FFANN model for mammogram classification using an improved gray level co-occurances matrix (pp. 4214–4226)

5. Tripathy, S. (2019). Performance evaluation of several machine learning techniques used in the diagnosis of mammograms. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 228–232.

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