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:||100:0|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|20B (HAM)||B Trimester : 13 Jul 2020 - 8 Nov 2020||Hamilton|
Timetabled Lectures for Image Processing and Machine Vision (ENGEE532)
|Mon||2:00 PM||3:00 PM||K.G.01||Jul 13 - Oct 18|
|Tue||2:00 PM||3:00 PM||I.1.05||Jul 13 - Oct 18|
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 (2019)
Paper details current as of : 31 July 2020 9:24am
Indicative fees current as of : 4 June 2020 3:25pm