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

Tiantai Deng; Danny Crookes; Fahad Siddiqui; Roger Woods

doi:10.1007/978-981-13-2384-3_44

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

Tiantai Deng Danny Crookes Fahad Siddiqui Roger Woods

Year: 2018 Communications in computer and information science Pages: 468-477 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-13-2384-3_44

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Keywords:

Initialization Computer science Cluster analysis Histogram Field-programmable gate array Pixel Artificial intelligence Convergence (economics) Algorithm Image (mathematics) Segmentation k-means clustering Pattern recognition (psychology) Computer hardware

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Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

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