Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
D
DIP2-cheatsheet
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Requirements
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Locked files
Deploy
Releases
Package registry
Model registry
Operate
Terraform modules
Monitor
Incidents
Service Desk
Analyze
Value stream analytics
Contributor analytics
Repository analytics
Code review analytics
Issue analytics
Insights
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Tom Nellius
DIP2-cheatsheet
Commits
03dc9aec
Commit
03dc9aec
authored
2 years ago
by
Tom Nellius
Browse files
Options
Downloads
Patches
Plain Diff
Add DIP1 exercises
parent
10113e7e
No related branches found
Branches containing commit
No related tags found
No related merge requests found
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
DIP2-cheatsheet.md
+21
-0
21 additions, 0 deletions
DIP2-cheatsheet.md
with
21 additions
and
0 deletions
DIP2-cheatsheet.md
+
21
−
0
View file @
03dc9aec
...
...
@@ -170,6 +170,8 @@ plt.axhline(100, color="blue") # horizontal line at y=100
# Exercises
List of the topics of each exercise to find them faster
## DIP 2
|Exercise|Topic|
|---|---|
...
...
@@ -187,3 +189,22 @@ plt.axhline(100, color="blue") # horizontal line at y=100
|12|Least-Mean-Squared-Error (LMSE) Algorithm|
|13|Fully Connected Neural Networks and Backpropagation|
|14|Simple CNN to Classify Handwritten Numbers|
## DIP 1
|Exercise|Topic|
|---|---|
|1|Reading Images, Representation in 1D|
|2|Minimum/Maximum, Drawing Markers, Lines, Rectangles, Circles|
|3|Creating Periodic Patterns, Image Sampling, Creating Patterns with Variable Frequency, Moiré Effect|
|4|Thresholding, Negative Image, Gray-level Slicing, Range Scaling, Log Transformation, Gamma Correction, Bit-plane slicing|
|5|Histogram Computation and Analysis, Global/Local Histogram Equalization|
|6|Boundary Padding, Mean (Average) Filter, Arbitrary Filter Masks, Separable Filters|
|7|Gaussian Filter Masks, Ranking (Median) Filter, Differentiation of Images|
|8|Normalization and Clipping, Laplacian Filter, Laplacian of Gaussian (LoG), Roberts (Cross) and Sobel Operator|
|9|Discrete Fourier Transform, Inverse Discrete Fourier Transform (IDFT), Properties of the DFT and Spectrum, Spectrum and Phase Interpretation|
|10|Notch Filter, Ideal Lowpass Filter, Butterworth Lowpass Filter, Gaussian Lowpass Filter, Padding and Cropping|
|11|Highpass Filters, Image Restoration,Spatial Filters in the Frequency Domain, Template Matching (Correlation) in the Frequency Domain|
|12|Working with Color Images, RGB Color Space, HSV (HSI) Color Space, Intensity Slicing, Pseudo-color Enhancement|
|13|Converting Color Images to Grayscale Images, Intensity Adjustment, Color Complements, Color Slicing, Color Corrections, Color Segmentation in HSV|
|14|Run-Length Encoding (RLE), Bit-Plane Coding with Gray Code, Lempel-Ziv-Welch (LZW) Coding|
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment