Spring 2015 - ENSC 474 D100

Digital/Medical Image Processing (4)

Class Number: 4548

Delivery Method: In Person

Overview

  • Course Times + Location:

    Mo 12:30 PM – 2:20 PM
    SECB 1010, Burnaby

    We 12:30 PM – 1:20 PM
    SECB 1013, Burnaby

  • Exam Times + Location:

    Apr 25, 2015
    8:30 AM – 11:30 AM
    SSCC 9000, Burnaby

  • Prerequisites:

    CMPT 128, 225 (or permission of the instructor), and ENSC 380.

Description

CALENDAR DESCRIPTION:

Develops signal processing techniques of wide applicability, presented inthe context of processing and analysis of digital images, in particular 2D and3D biomedical images. Covers acquisition, formation and representation of digital images, filtering, enhancement and restoration in both spatial and frequency domains, image segmentation, image registration, and discrete image transforms. Students with credit for ENSC 460/895-Digital Image Processing and Analysis cannot take this course for further credit.

COURSE DETAILS:

1.     Digital 3D Image representation and file formats – sampling and quantization, interpolation, storage formats, concepts in digital connectivity.  
2.     Filtering, Noise removal and Image Enhancement techniques – Spatial domain filtering via convolution masks, Fourier domain filtering via design of frequency domain filters, image enhancement, restoration and constrained filtering, morphological filters.  
3.     Registration of Medical images – landmark and image registration using low dimensional and high dimensional transformations.  
4.     Segmentation of Medical images – overview of the main concepts in segmentation via region growing, clustering, Level set methods, deformable curves/surfaces.  
5.     Representing images/anatomical shapes - Fourier descriptors, statistical/shape moments, principal components.

Grading

  • Final Exam 30%
  • Homework 50%
  • Final Project 20%

NOTES:

A+[95-100), A[90-95), A-[85-90), B+[80-85), B[70-80), B-[65-70), C[50-65), F(<=49)

Assignments are to be electronically submitted on WebCT. Normally, there will be an assignment every Friday and will be due in one week. The final project is to be completed individually. Late assignments are marked to zero.  

There is no makeup exam so please make sure you will attend the exam.

Materials

REQUIRED READING:

Digital Image Processing, Third Edition
Authors: Rafael Gonzalez and Richard Woods

RECOMMENDED READING:

Digital Image Processing using MATLAB
Authors: Gonzalez, Woods and Eddins

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS