Image Processing and Machine Vision - ENGEE532 (2019)
This paper is an introduction to image processing and machine vision in the context of machine automation and control and includes noise suppression, object recognition and tracking, and camera technologies and geometries.
|Prerequisite(s):||(COMPX203 or COMP200) and (ENGEN301 or ENGG381, MATH257, MATH342, MATHS304) and (ENGEN201 or ENGG284 or ENGG285 or MATH251 or MATH255 or MATHS201 or MATHS203)|
|Internal assessment / examination:||50:50|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|19B (HAM)||B Trimester : 8 Jul 2019 - 3 Nov 2019||Hamilton|
Timetabled Lectures for Image Processing and Machine Vision (ENGEE532)
|Mon||2:00 PM||3:00 PM||MSB.1.15||Jul 8 - Oct 13|
|Tue||12:00 PM||1:00 PM||K.3.10||Jul 8 - Oct 13|
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for ENGEE532 for more details
Indicative Fees for Image Processing and Machine Vision (ENGEE532)
Paper Outlines for Image Processing and Machine Vision (ENGEE532)
The following paper outlines are available for Image Processing and Machine Vision (ENGEE532).
If your paper occurrence is not listed contact the Faculty or School office.
Other available years: Image Processing and Machine Vision - ENGEE532 (2020)
Paper details current as of : 26 May 2020 8:32am
Indicative fees current as of : 31 January 2020 4:26pm