PLS_Toolbox Documentation: isimcapr	< imgsimca	jmlimit >

isimcapr

Purpose

Applies IMGSIMCA models to new images.

Synopsis

newmod = isimcapr(data,model)

Description

IMGSIMCA uses a model developed with the IMGSIMCA function model to classify areas on a new multivariate image data. Note that the new image can be of different size (i.e. it can have a different number of pixels than the original multivariate image used to construct the IMGSIMCA model (model)), but it must have the same depth.

 The output is a structure array newmod which contains the new classifications. The fields of the structure are:

               mwaname:   name of original multivariate image data,

           modelname:   name of the original SIMCA model from IMGSIMCA,

                     name:   model type, always 'ISIMCAPR',

                     date:   date stamp,

                     time:   time stamp,

                     size:   size of the image data,

             in_class:   array which gives pixels within 95% Q limits for each class,

   closest_class:   array which gives closest class for each pixel,

                   rqmat:   reduced Q values for all classes for all pixels, and

               rtsqmat:   reduced T² values for all classes for all pixels.

See Also

contrastmod, imgpca, imgselct, imgsimca