Steve on Image Processing

June 8th, 2009

In January 2006, the first month of this blog, I wrote the following:

"Section 5.11 of Digital Image Processing Using MATLAB covers spatial transformations. I'm interested in expanding this material to a full chapter. I'd like to use this blog to explore these topics and get your feedback about them."

Well that's what happened. I wrote a whole series of posts about spatial transformations, and you provided lots of good feedback.

Now the 2nd edition of Digital Image Processing Using MATLAB is finally available! And it has a brand new chapter called Geometric Transformations and Image Registration. This chapter was my biggest contribution to the new edition.

Here are the chapter contents:

Chapter 6: Geometric Transformations and Image Registration
6.1 Transforming Points
6.2 Affine Transformations
6.3 Projective Transformations
6.4 Applying Geometric Transformations to Images
6.5 Image Coordinate Systems in MATLAB
6.5.1 Output Image Location
6.5.2 Controlling the Output Grid
6.6 Image Interpolation
6.6.1 Interpolation in Two Dimensions
6.6.2 Comparing Interpolation Methods
6.7 Image Registration
6.7.1 Registration Process
6.7.2 Manual Feature Selection and Matching Using cpselect
6.7.3 Inferring Transformation Parameters Using cp2tform
6.7.4 Visualizing Aligned Images
6.7.5 Area-Based Registration
6.7.5 Automatic Feature-Based Registration

I wrote about many of these topics here in the blog first.

19:16 UTC | Posted in Spatial transforms | Permalink |

You can follow any responses to this entry through the RSS 2.0 feed. You can skip to the end and leave a response. Pinging is currently not allowed.

8 Responses to “Spatial transformations chapter in new edition of Digital Image Processing Using MATLAB”

1. Charalampos Kornelakis replied on June 16th, 2009 at 18:55 UTC :
   

   I have a project to finish up to this september! I need to implement two different algorithms on matlab one using feature-based technique and another one for area-based. Do you think that this book will help me to finish my project??

2. Steve replied on June 17th, 2009 at 12:31 UTC :
   

   Charalampos—I’ll describe the sections and let you decide. The area-based registration section illustrates how one might use normalized cross-correlation to determine a translation relationship between two images and then visualize the result. Two related examples are given with MATLAB code. The automatic feature-based registration section is just a two-paragraph, bare-bones outline of a couple of techniques with some useful references.

3. Charalampos Kornelakis replied on June 17th, 2009 at 18:09 UTC :
   

   Steve- Could you propose me some other book that it could help me to finish my project ?? where can i find information and examples on this subject ?? I have to use only these two techniques. could you help me??

4. Steve replied on June 18th, 2009 at 12:06 UTC :
   

   Charalampos—You might want to give this tutorial by Szeliski a try. Please note that the terms “feature-based” and “area-based” are broad categories rather than specific methods.

5. Charalampos Kornelakis replied on June 18th, 2009 at 14:52 UTC :
   

   Steve - Could you tell two or three methods on each category that could help me a lot to continue searching information.

6. Steve replied on June 18th, 2009 at 15:03 UTC :
   

   Charalampos—The tutorial I linked to has a lot of good information about the various methods.

7. Vassilis replied on December 8th, 2009 at 13:26 UTC :
   

   the imresize function uses an antiliasing filter for decimation or interpolation for e.g. bilinear method. Can i have more info about this filtering.
   e.g. i have a gray image of height 27 pixels. I want to go to 30 pixels, which is the filter?
   or if i want ot go to 30 from 45 pixels height.

   Thanks,
   Vassilis

8. Steve replied on December 8th, 2009 at 13:27 UTC :
   

   Vassilis—No antialiasing is applied when you enlarge an image. It is not necessary.

Leave a Reply

<pre class="code">
a = magic(3);
sum(a)
</pre>

These postings are the author's and don't necessarily represent the opinions of The MathWorks.