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Using TDA on Images 
Carmen Cox
The Idea 
Mona Lisa by Leonardo Da Vinci Two Girls Reading by Pablo Picasso
The Idea 
Mona Lisa by Leonardo Da Vinci Two Girls Reading by Pablo Picasso
Big Question 
• Can TDA pick up zero- and one-dimensional 
persistence on images?
Method 
• Create a simplicial complex out of a grayscale 
image and feed it to rca1mfscm 
• Comparison between persistence diagrams
The Dataset: Images 
• Each image is made up of pixels with some value 
associated with each pixel 
▫ Thus, an image can be thought of as a giant matrix 
• Color images use RGB values between 0 (white) 
and 255 (black) but I used grayscale instead, 
where the values are a float between 0 and 1
The Dataset: Images
The Dataset: Images
Creating a Simplex out of an Image 
0 0.25 0.37 … 
0.7 
0.59 
…
Creating a Simplex out of an Image 
vertex
Creating a Simplex out of an Image 
edge
Creating a Simplex out of an Image
Creating a Simplex out of an Image
Creating a Simplex out of an Image
Feed into rca1mfscm 
• Vertex input: 
▫ [index index grayscale value] 
• Edge input, of edge between vertex i and vertex j: 
▫ [index i index j max grayscale value of i and j] 
• Create N x 3 array, S 
>> [I J] = rca1mfscm(S,1.2);
Some Simple Examples 
Zero-dimensional persistence
Some Simple Examples 
One-dimensional persistence
Some Simple Examples 
Zero-dimensional persistence
Some Simple Examples 
One-dimensional persistence
Some Simple Examples 
Zero-dimensional persistence
Some Simple Examples 
One-dimensional persistence
A More Interesting Example 
Zero-dimensional Persistence
A More Interesting Example 
One-Dimensional Persistence
Mona Lisa 
0-D 
1-D
Two Girls Reading 
0-D 
1-D
Comparison: Zero-Dimensional 
Persistence 
Mona Lisa Two Girls Reading
Comparison: One-Dimensional 
Persistence 
Mona Lisa Two Girls Reading
Girl with a Pearl Earring 
0-D 
1-D
Comparison: Zero-Dimensional 
Persistence 
Mona Lisa Girl with a Pearl Earring Two Girls Reading
Comparison: One-Dimensional 
Persistence 
Mona Lisa Girl with a Pearl Earring Two Girls Reading
Future Directions 
• Machine learning 
▫ Can paintings from different art periods be 
distinguished using TDA and machine learning? 
Can any group of images be distinguished? 
• Color images 
• Addressing problem of size
Thank you!

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Using tda on images

Editor's Notes

  1. Use 1.2 since greatest grayscale value is 1
  2. Cluster around 1 (when black blobs/circles appear); line along 0- white fills in, pockets where gray, black values fill in; big dot