| |
| Tuesday, July 15, 2008 |
| Activity 8: Morphological Operations |
The morphology of an image refers to its shape or structure. In image processing, morphological operations are treatments done on binary images, particularly images composed of 1's that form a particular shape (0's represent the background), in order to improve the image or to obtain the desired effect on it. All morphological operations affect the shapes of images; in this activity, we expand and shrink them.
We will use the erode and dilate functions in Scilab for this activity, therefore specifying each command to a corresponding structuring element (since the command won't make sense without one, much like an mkfftfilter without the filter) and we will apply them to simple geometric shapes like: a circle, a cross, a square, a hollow square, and a triangle.
Each of these shapes will be dilated and eroded to different structuring elements: a 4x4 square; a 4x2 horizontal rectangle; a 2x4 horizontal triangle; and a 5x1, 1x5 cross.
Contrasting the Scilab results from my predictions given from what I gathered from Dr. Soriano's lecture and from other internet resources:
1. http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Morpholo.html
2. http://homepages.inf.ed.ac.uk/rbf/HIPR2/dilate.htm
3. http://homepages.inf.ed.ac.uk/rbf/HIPR2/erode.htm
Albeit my predictions are "slightly" exaggerated versions of what I want them to show, I included numerical predictions and from there it is safe for me to say that I obtained a good correlation! Yey!
Acknowledgements
Thank you to Jeric, JC, and Julie for clearing some confusing parts with me. I think I actually understood this activity! I give myself 10/10 neutrinos!
 |
posted by poy @ 9:58 PM  |
|
|
|
|
|
|
