On 19 February 2010 05:20, Martin Nordholts <enselic@xxxxxxxxx> wrote:
I don't think we should have two tools for this, rather one tool that
does a great job
Afaik GSoC is supposed to be a full-time undertaking, if you spend 30
ours each week on other stuff it can be hard to be productive. If you
think you can solve the task at hand despite this however, it will not
be a problem in practice.
I intend to write the plugin as part of my MSc thesis, even if it is not chosen as a GSoC project. In fact, I talked to my advisor and he got very excited about the idea, so I believe that my initial estimate of 25~30h could drop to 10~15h (probably even less during GSoC).
Regarding the quality of our approach, I have made a quick comparison and it outperformed GIMP's tool based on SIOX for quite a few images (required less user interaction for correction and produced equal or better results for different types of images). So, if our method indeed proves to be a good alternative and be accepted by the GIMP community, I would be more than happy to implement it as an integral part of GIMP, even if it means doing it for GSoC.
Our segmentation framework and the plugin idea work as follows:
1) When the plugin is loaded the image is automatically pre-segmented and the result is shown to the user.
1) When the plugin is loaded the image is automatically pre-segmented and the result is shown to the user.
2) The user would then draw object markers selecting the regions which compose the object, and inserting background markers when a region contains both object and background pixels (those regions will be split independently as near the object's border as possible).
3) Then, our approach uses the markers to improve the automatic pre-segmentation (by learning the color distribution and texture of the object), to select the regions that compose the object, and to divide the regions that need to be divided.
4) Finally, the user may add/remove object and background markers to finalize the segmentation by selecting/splitting the regions. This step does not need to learn the object's properties.
* Optional * 5) I am currently working to improve a tool for soft segmentation which is applied automatically to the border of the segmentation mask, and which may be interactively used on fine features such as hair.
There are only three parameters that may be changed by the user:
1) The number of regions which should be pre-segmented (usually a slider to select between "less" and "more" regions)
2) The percentage of the object's information that should be used (we actually combine information learned from the object markers with color and texture information from the image to achieve better results).
Certain aspects of the framework may be changed or simplified to make it even more user-friendly, such as the automatic pre-segmentation step and the combination percentage parameter (50% usually yields good results).
* Note: I can demonstrate our method if necessary *
I'd rather prefer that you used the GCC vector extensions:
http://gcc.gnu.org/onlinedocs/gcc/Vector-Extensions.html
Actually, that is what I currently use so there will be no problem.
--
Thiago Vallin Spina
MSc student
Laboratory of Visual Informatics
Institute of Computing -- Unicamp
www.liv.ic.unicamp.br
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