Dr Zainab Mohammed Amean
|Name||Zainab Mohammed Amean|
|Section||School of Mechanical and Electrical Engineering|
|Qualifications||MSc UoT Baghdad , PhD USQ|
Arabic (accredited translator)
Machine vision, Stereo vision, depth image analysis, plant Identification, image processing.
Publications in ePrints
Mohammed Amean, Zainab (2017) Automatic plant features recognition using stereo vision for crop monitoring. [Thesis (PhD/Research)]
Mohammed Amean, Z. 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. 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.