MSER-in-chip: An efficient vision tool for IoT devices

Andrzej Sluzek; Hani Saleh; Baker Mohammad; Mahmoud Al-Qutayri; Mohammed Ismail

doi:10.1007/978-3-319-93100-5_14

MSER-in-chip: An efficient vision tool for IoT devices

Andrzej Sluzek, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Mohammed Ismail

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

MSERs (maximally stable extremal regions) belong to the most popular local image features with a wide range of highly practical applications, e.g., (to name a few) in image search and retrieval, object detection and recognition, image stitching, tracking mobile objects, etc. Low complexity of MSER detectors (combined with a regular structure suitable for hardware implementation) makes MSER an attractive option for IoT devices which may require vision capabilities to analyze and interpret their environments. In this chapter, we briefly discuss theoretical, algorithmic, and technical aspects of using MSER for such purposes. The presented results have contributed to the system-on-chip implementation of MSER detector which is also overviewed in this chapter. Additionally, we discuss prospective hardware implementations of even more efficient feature detectors based on MSERs.

Original language	British English
Title of host publication	The IoT Physical Layer
Subtitle of host publication	Design and Implementation
Pages	245-259
Number of pages	15
ISBN (Electronic)	9783319931005
DOIs	https://doi.org/10.1007/978-3-319-93100-5_14
State	Published - 1 Jan 2018

Keywords

Hardware implementation
Image features
IoT
MSER
System-on-chip
Vision applications

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10.1007/978-3-319-93100-5_14

Cite this

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MSER-in-chip: An efficient vision tool for IoT devices

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Keywords

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