- If you choose to use tabular data, it can then be used to create a heatmap using MATLAB's ‘heatmap’ function or other visualization tools that accept tabular data as input. This approach allows you to have flexibility in representing additional information or attributes associated with each grid box, if needed
- Alternatively, you can have a matrix or an array where each element represents the particle count in a specific grid box rather than creating a tabular data structure explicitly.
How to create an integrated particle counter and heat map?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Brett
el 11 de Sept. de 2023
Respondida: Pratyush Swain
el 26 de Sept. de 2023
I am trying to create a script to sub-divide an image into a grid, count the number of particles within each grid, and then create a heatmap based on the threshold values for the number of particles per grid box. Would it be best to use a particle counting script to make a data table and then create a tabular data heatmap?
0 comentarios
Respuesta aceptada
Pratyush Swain
el 26 de Sept. de 2023
Hi Brett,
Both the methods of creating or not creating a data table can be effective, and the choice depends on the specific needs and preferences. It can be listed as follows:
For more information on 'heatmap' function, you can refer to https://in.mathworks.com/help/matlab/ref/heatmap.html
Hope this helps.
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Data Distribution Plots en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!