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HU Credits:
3
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
agro informatics
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Rehovot
Course/Module Coordinator:
yaron Michael
Coordinator Office Hours:
by appointment
Teaching Staff:
Mr. Yaron Michael,
Mr. Daniel Waiger
Course/Module description:
Learning of selected topics in image processing and analysis at an introductory level.
These include the following topics: Image digitization, mathematical operations on matrices, color representations, data filtering including Fourier transforms and image segmentation. Students learn to apply the material by implementing and investigating image processing algorithms in Python and ImageJ (Fiji).
Course/Module aims:
Learning outcomes - On successful completion of this module, students should be able to:
Proper image acquisition - What are the prerequisites for a proper image/dataset?
Read images into analysis programs and perform mathematical operations on them.
Understand and apply Fourier transform analysis to images.
To create a workflow that allows the extraction of conclusions from experimental images.
Attendance requirements(%):
none
Teaching arrangement and method of instruction:
Weekly lectures and discussion, programming in class, and homework assignments.
Course/Module Content:
List of subjects:
Introduction, Digital images
Color Science
Operating on Images
Filtering and Histograms
ImageJ - FIJI
FFT - Fourier analysis
Image Segmentation
Regions of Interest
Colors, and dimensionality reduction
Multi-image processing (Video and multiposition batch)
Image analysis projects
Required Reading:
-
Additional Reading Material:
Bioimage Data Analysis Work Flows / Kota Miura, Nataša Sladoje (Editors) (Open access Online Book)
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 50 %
Assignments 50 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
Exercises (class and home): 50%
Project: 50%
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