@inproceedings{1b314bea77d044728bae5db8f1a29e4b,
title = "Reconfigurable Hardware Accelerator of Morphological Image Processor",
abstract = "Researchers emphasize the importance of hardware accelerators for mathematical morphology. If there are any issues, the hardware architecture may need to be redesigned. Thus, we propose a novel, reconfigurable hardware architecture with pipeline techniques for acceleration. With the order control register, there is no need to modify the architecture even if different results are expected. Furthermore, the hardware architecture caters to specific purposes instead of requiring a purpose-built hardware design.",
keywords = "grayscale image processing, hardware accelerator, pipeline, reconfigurable",
author = "Lin, {Ming Yi} and Hsieh, {Sheng Hsien} and Chen, {Ching Han}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023 ; Conference date: 14-04-2023 Through 16-04-2023",
year = "2023",
doi = "10.1109/ICEIB57887.2023.10170636",
language = "???core.languages.en_GB???",
series = "2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "348--351",
editor = "Teen-Hang Meen",
booktitle = "2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023",
}