Multi-resolution or Pyramidal Analysis
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I have to run some complex code on very large images, and this is taking so much computing resources, not to mention a loooong time. I'd like to speed up the process through multi-resolution analysis.
The idea is to run the computation on a low resolution image(generated using imresize, or wavelets decomposition) and then mapping detected points (coordinates) to the original (much larger) image. Let's assume I have 10 coordinates detected on the sub-sampled image.
How can I map these coordinates to the original image? Appreciate some help here.
Thanks
0 commentaires
Réponse acceptée
Image Analyst
le 25 Oct 2011
That seems rather obvious. If you cut the size down by half, the midpoint, say, of the image will be half way to where it was in the fullsize image.
By the way, have you seen quadtree() in the Image Processing Toolbox?
0 commentaires
Plus de réponses (1)
Voir également
Catégories
En savoir plus sur Image Segmentation and Analysis dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!