Performance Analysis of SoC and Hardware Design Flow in Medical Image Processing Using Xilinx Zed Board FPGA

Author:

Solanki Neol,Patel Chintan,Tailor Neel,Pathan Nadimkhan

Publisher

Springer Singapore

Reference21 articles.

1. He X, Tang L (2019) FPGA-based high definition image processing system. In: Jia M, Guo Q, Meng W (eds) Wireless and satellite systems. WiSATS 2019. Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_20

2. van der Vlugt S, Alizadeh Ara H, de Jong R, Hendriks M, Marin RG, Geilen M, Goswami D (2019) Modeling and analysis of FPGA accelerators for real-time streaming video processing in the healthcare domain. J Sig Process Syst 91:75–91. https://doi.org/10.1007/s11265-018-1414-3

3. Chinchwadkar RM, Ingale VV, Gokhale A (2020) Hardware implementation of histogram-based algorithm for image enhancement. In: Iyer B, Rajurkar A, Gudivada V (eds) Applied computer vision and image processing. Advances in intelligent systems and computing, vol 1155. Springer, Singapore. https://doi.org/10.1007/978-981-15-4029-5_6

4. Sharif U, Mirzaei S (2018) High level synthesis implementation of object tracking algorithm on reconfigurable hardware. In: Voros N, Huebner M, Keramidas G, Goehringer D, Antonopoulos C, Diniz P (eds) Applied reconfigurable computing. architectures, tools, and applications. ARC 2018. Lecture notes in computer science, vol 10824. Springer, Cham. https://doi.org/10.1007/978-3-319-78890-6_48

5. Chiuchisan I (2013) A new FPGA-based real-time configurable system for medical image processing. In: 2013 E-health and bioengineering conference (EHB), Iasi, pp 1–4. https://doi.org/10.1109/EHB.2013.6707301

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