@inproceedings{6aabf32613764f3d96ffb84823b2f3e2,
title = "A hardware accelerator for real-time extraction of the linear-time MSER algorithm",
abstract = "This paper presents a novel hardware accelerator architecture for the linear-time Maximally Stable Extremal Regions (MSER) detector algorithm. In contrast to the standard MSER algorithm, the linear-time MSER implementation is more suitable for real-time applications of image retrieval in large-scale and high resolution datasets (e.g. satellite images). The linear-time MSER accelerator design is optimized by enhancing its flooding process (which is one of the major drawbacks of the standard linear-time MSER) using a structure that we called stack of pointers, which makes it memory-efficient as it reduces the memory requirement by nearly 90\%. The accelerator is configurable and can be integrated with many image processing algorithms, allowing a wide spectrum of potential real-time applications to be realized even on small and power-limited devices.",
keywords = "ASIC, Hardware Accelerators, Linear-time MSER, Maximally Stable Extremal Regions, System-on-Chip",
author = "Sohailah Alyammahi and Ehab Salahat and Hani Saleh and Andrzej Sluzek",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 ; Conference date: 09-11-2015 Through 12-11-2015",
year = "2015",
doi = "10.1109/IECON.2015.7392966",
language = "British English",
series = "IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "65--69",
booktitle = "IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society",
address = "United States",
}