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Dr Zainab Mohammed Amean

Name Zainab Mohammed Amean
Position Casual Employment
Section School of Mechanical and Electrical Engineering
Location Toowoomba Campus
Email
Qualifications MSc UoT Baghdad , PhD USQ
Languages Arabic (non accredited translator)

Research interests
Machine vision, Stereo vision, depth image analysis, plant Identification, image processing.



Publications in ePrints

Mohammed Amean, Zainab ORCID: https://orcid.org/0000-0003-1581-3883 and Low, Tobias and Hancock, Nigel (2021) Automatic leaf segmentation and overlapping leaf separation using stereo vision. Array, 12:100099. pp. 1-17.

Hadi, Musadaq A. and M. Amean, ZainabORCID: https://orcid.org/0000-0003-1581-3883 (2021) New strategy to control covid-19 pandemic using lead/lag compensator. Biomedical Signal Processing and Control, 68:102669. pp. 1-7. ISSN 1746-8094

Mohammed Amean, Zainab ORCID: https://orcid.org/0000-0003-1581-3883 (2017) Automatic plant features recognition using stereo vision for crop monitoring. [Thesis (PhD/Research)]

Mohammed Amean, Z. ORCID: https://orcid.org/0000-0003-1581-3883 and Low, T. and McCarthy, C. and Hancock, N. (2013) Automatic plant branch segmentation and classification using vesselness measure. In: Australasian Conference on Robotics and Automation (ACRA 2013), 2-4 Dec 2013, Sydney, Australia.

Mohammed Amean, Z. ORCID: https://orcid.org/0000-0003-1581-3883 and Low, T. and McCarthy, C. and Hancock, N. (2013) Evaluation of stereovision for extracting plant features. In: SEAg 2013: Innovative Agricultural Technologies for a Sustainable Future, 22-25 Sept 2013, Barton, Western Australia.