A New Real-Time FPGA-Based Implementation of K-Means Clustering for Images-Reference-Cited by-同舟云学术

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A New Real-Time FPGA-Based Implementation of K-Means Clustering for Images

Published:2018 Issue: Volume: Page:468-477
ISSN:1865-0929
Container-title:Intelligent Computing and Internet of Things
language:
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Author:

Deng Tiantai,Crookes Danny,Siddiqui Fahad,Woods Roger

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2384-3_44

Reference15 articles.

1. Kanungo, T., Mount, D.M., Netanyahu, N.S., et al.: An efficient K-means clustering algorithm: Analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 881–892 (2002)

2. Ng, H.P., Ong, S.H., Foong, K.W.C., et al.: Medical image segmentation using K-means clustering and improved watershed algorithm. In: Proceedings of 2006 IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 61–65. IEEE (2006)

3. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification and Scene Analysis, 2nd edn. Wiley Interscience, Hoboken (1995)

4. Choi, Y.M., So, H.K.H.: Map-reduce processing of K-means algorithm with FPGA-accelerated computer cluster. In: Proceedings of the 2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors, ASAP, pp. 9–16. IEEE (2014)

5. Neshatpour, K., Koohi, A., Farahmand, F., et al.: Big biomedical image processing hardware acceleration: a case study for K-means and image filtering. In: 2016 IEEE International Symposium on Circuits and Systems, ISCAS, pp. 1134–1137. IEEE (2016)

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1. Parametric Pipelined k-Means Implementation for Hyperspectral Processing on Spacecraft Embedded FPGA;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. FPGA Implementation of Yinyang K-Means Clustering;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

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