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Computer Vision

● Other names of the class– Digital Image Processing

– Image Processing & Pattern Recognition

Syllabus (Tentative)● IMAGE PROCESSING BASICS

● MATLAB BASICS

● ARITHMETIC AND LOGIC OPERATIONS

● GEOMETRIC OPERATIONS

● GRAY-LEVEL TRANSFORMATIONS

● HISTOGRAM PROCESSING

● NEIGHBORHOOD PROCESSING

● FREQUENCY-DOMAIN FILTERING

● IMAGE RESTORATION

● MORPHOLOGICAL IMAGE PROCESSING

● EDGE DETECTION

● IMAGE SEGMENTATION

● COLOR IMAGE PROCESSING

● FEATURE EXTRACTION AND REPRESENTATION

● VISUAL PATTERN RECOGNITION

~ Grading Policy (Draft)

● Midterm 20%● Labs 20%● Project 1 (smart shot) = 20%● Project 2 (video processing) = 20%● Final = 20%

TOTAL 100%

● Portal:● M1 = Midterm + Labs/2● M2 = Project1 + Labs/2● F = Project2 + Final

Main textbook (additional references will come later)

● Practical Image and Video Processing Using MATLAB, Oge Marques, 2011

– http://www.ogemarques.com/

Course Page

● http://instructor.sdu.edu.kz/~konst/cv2015/● https://sites.google.com/site/sducv2013

● https://sites.google.com/site/sducvclass

– course pages of previous years

Computer Vision on the web

Computer Vision on the web

Computer Vision on the web

Computer Vision on the web

Computer Vision on the web

Computer Vision on the web

Computer Vision on the web

Computer Vision at SDU

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