📄 pdfbflip_model.m
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% pdfbflip_model.m% By: Duncan Po% Date: December 5/2002% usage: newmodel = pdfbflip_model(model, level, subband)% input: model - model to be flipped% level - the level where the flipping occurred% subband- the subband where the flipping occurred% output: newmodel - flipped model%% this function flip the state of a particular node (i.e. state 1% becomes state 2, and state 2 becomes state 1 for two state case)% This action doesn't change the model but can align the model against% another one which is useful in image retrieval, etc.function newmodel = pdfbflip_model(model, level, subband) newmodel = model; if level < length(model.stdv) newmodel.stdv{level}{subband} = fliplr(newmodel.stdv{level}{subband}); if strcmp(newmodel.zeromean, 'no') == 1 newmodel.mean{level}{subband} = fliplr(newmodel.mean{level}{subband}); end; if length(model.stdv{level}) == length(model.stdv{level+1}) newmodel.transprob{level}{subband} = ... fliplr(newmodel.transprob{level}{subband}); else % next level has double the directions newmodel.transprob{level}{subband*2} = ... fliplr(newmodel.transprob{level}{subband*2}); newmodel.transprob{level}{subband*2-1} = ... fliplr(newmodel.transprob{level}{subband*2-1}); end; if level ~= 1 newmodel.transprob{level-1}{subband} = ... flipud(newmodel.transprob{level-1}{subband}); else newmodel.rootprob = fliplr(newmodel.rootprob); end;else %level = finest level newmodel.stdv{level}{subband} = fliplr(newmodel.stdv{level}{subband}); if strcmp(newmodel.zeromean, 'no') == 1 newmodel.mean{level}{subband} = fliplr(newmodel.mean{level}{subband}); end; newmodel.transprob{level-1}{subband} = ... flipud(newmodel.transprob{level-1}{subband});end;
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