SectorAnalysisToolbox Documentation: Difference between revisions

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The models shown in these tutorials illustrate features of the SectorAnalysisToolbox software.  
The models shown in these tutorials illustrate features of the SectorAnalysisToolbox software.  
Viewing these pages. Some versions of ''Firefox'' and ''Explorer'' do not create satisfactory prints even though you can view the pages with no problems. ''Chrome'' does appear to produce good printouts.
Viewing these pages. Some versions of ''Firefox'' and ''Explorer'' do not create satisfactory prints even though you can view the pages with no problems. ''Chrome'' does appear to produce good printouts.
=Four ways to use ''SectorAnalysisToolbox ''=
=Using the ''SectorAnalysisToolbox ' to analyse the shapes of cell clones'=
1) [SectorAnalysisToolbox Documentation#2 Creating shape models in 2D| '''Analysing shapes.''']] i.e. the arrangement of points around a shape<br><br>
2) [[SectorAnalysisToolbox Documentation#1 Creating shape models in 2D| '''Comparing shapes from samples of different groups''']] for example, comparing faces from different cartoon characters<br><br>
3) [[SectorAnalysisToolbox Documentation#3 Analysing both shape and appearance in 2D|'''Analysing shape and appearance.''']] In addition to the points around a shape, analyse the appearance (grey scale or colour) within the shape.<br><br>
4) [[SectorAnalysisToolbox Documentation#4 Creating shape models in 3D|'''Analysing 3D shapes''']]


='''1''' Analysing 2D shapes using the Graphical User Interface=
='''1''' Analysing 2D shapes of cell clones=
 
'''How to use the tutorial.''' First [[SectorAnalysisToolbox Download|download and install the SectorAnalysisToolbox ]]. A zip file containing the project (''Leaf growth'') should be loaded. Then, from Matlab, change directory into the project and launch the SectorAnalysisToolbox


'''How to use the tutorial.''' First [[SectorAnalysisToolbox Download|download and install the SectorAnalysisToolbox ]]. A zip file containing the project (''PRJ_CartoonFaces'') is available [http://cmpdartsvr1.cmp.uea.ac.uk/downloads/software/PRJ_CartoonFaces.zip here]. Download and unzip into a directory. Then, from Matlab, change directory into the project and launch the SectorAnalysisToolbox
cd PRJ_CartoonFaces
SectorAnalysisToolbox
This project contains as set of faces that have been analysed using 2D shape models
<gallery caption="The set of faces" widths="60px" heights="100px" perrow="8" border="0">
Image:CB1.jpg
Image:CB2.jpg
Image:CB3.jpg
Image:CB4.jpg
Image:CB6.jpg
Image:CB7.jpg
Image:CB8.jpg
Image:CB9.jpg
</gallery>
The process of analysing a set of images is:-
The process of analysing a set of images is:-
{| border="0" cellpadding="5" cellspacing="3"
{| border="0" cellpadding="5" cellspacing="3"

Revision as of 08:48, 10 February 2012

Go back to software

The models shown in these tutorials illustrate features of the SectorAnalysisToolbox software. Viewing these pages. Some versions of Firefox and Explorer do not create satisfactory prints even though you can view the pages with no problems. Chrome does appear to produce good printouts.

Using the SectorAnalysisToolbox ' to analyse the shapes of cell clones'

1 Analysing 2D shapes of cell clones

How to use the tutorial. First download and install the SectorAnalysisToolbox . A zip file containing the project (Leaf growth) should be loaded. Then, from Matlab, change directory into the project and launch the SectorAnalysisToolbox

The process of analysing a set of images is:-

  1. Create a new project. AAMToolbox project names are automatically prefaced with PRJ_. They have a particular directory structure and the images to be analysed need to be copied into the subdirectory called Cropped. It is best if they are all the same size.
  2. Create a point model template. Points are placed around the object of interest, i.e. around a face or leaf. The set of points constitute the point model. Every image will be marked up in the same way.
  3. Move the points to the corresponding positions in each image in turn. The positions must correspond to the same material points in each image, i.e. the tip of the leaf, the corner of an eye, or halfway along a line between the two ends of the mouth.
  4. Generate the shape model using principal component analysis (PCA)
  5. View the result by varying each important component in turn. We call this walking the shape model. This movie shows a walk.
<wikiflv width="300" height="300" logo="false" loop="true" background="white">ShapeVectorWalkShowShape-21-Jun-2011-14-28-24 VD.flv|ShapeVectorWalkShowShape-21-Jun-2011-14-28-24 VD_First.png</wikiflv>

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