Computer Vision

CS 532 (3)

(Also offered as ECE 516)

Theory and practice of feature extraction, including edge, texture and shape measures. Picture segmentation; relaxation. Data structures for picture description. Matching and searching as models of association and knowledge learning. Formal models of picture languages.

Prerequisite: STAT 345 or ECE 340, CS 361L or ECE 331.



Prerequisites / Corequisites

Elements of Mathematical Statistics and Probability Theory - STAT **345


Probabilistic Methods in Engineering - ECE **340


Data Structures and Algorithms - CS 361L


Data Structures and Algorithms - ECE **331



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Office of the Registrar

MSC 11 6325
1 University of New Mexico
Albuquerque, NM 87131

Phone: (505) 277-8900
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