EECE 5626 — Image Processing and Pattern Recognition
4 semester hoursGraduateLectureusually offered: falltypical days: T/FBostonOnlineSeattle, WATraditionalVideo Streaming
Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Topics include discrete signals and systems in 2D, digital images and their properties, image digitization, image enhancement, image restoration, image segmentation, feature extraction, object recognition, and pattern classification principles (Bayes rules, class boundaries) and pattern recognition methods.
Prerequisites
- one of:
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 3 | 28 | 168 | 17% | 46.7 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 89% · W 0% · Th 0% · F 75%
Common patterns: TF (75% of sections), T (14% of sections), async (11% of sections) — in patterns, R means Thursday
Professors
Fall
- Vinay Ingle (86% of students) · reviews
- Joseph Weber (14% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app