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|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|20B (HAM)||B Semester : 13 Jul 2020 - 8 Nov 2020||Hamilton|
Timetabled Lectures for Image Processing and Machine Vision (ENGEE532)
|Mon||2:00 PM||3:00 PM||MSB.1.15||Jul 13 - Oct 18|
|Tue||2:00 PM||3:00 PM||K.B.07||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)
The following 2019 paper outlines are available for ENGEE532. Please contact the Faculty or School office for details on 2020 outlines.
Other available years: Image Processing and Machine Vision - ENGEE532 (2019)
Paper details current as of : 4 December 2019 8:42am
Indicative fees current as of : 12 November 2019 11:10am