/matlab_tools/Converted/kkmegaclip.m
Objective C | 354 lines | 351 code | 3 blank | 0 comment | 55 complexity | 0955eddaac4b7dc885c6f0a759a94aa7 MD5 | raw file
Possible License(s): BSD-3-Clause
- %kkmegaclip 'Clip the Range of Values in Data Object'
- % This MatLab function was automatically generated by a converter (KhorosToMatLab) from the Khoros kmegaclip.pane file
- %
- % Parameters:
- % InputFile: i 'Input ', required: 'Input file'
- % OutputFile: o 'Output ', required: 'output file'
- % InputFile: ilc 'Lower Cutoff Values File', optional: 'File containing lower cutoff values'
- % InputFile: iuc 'Upper Cutoff Values File', optional: 'File containing upper cutoff values'
- %
- % Example: o = kkmegaclip({i, ilc, iuc}, {'i','';'o','';'ilc','';'iuc',''})
- %
- % Khoros helpfile follows below:
- %
- % PROGRAM
- % kmegaclip - Clip the Range of Values in Data Object
- %
- % DESCRIPTION
- % The "MegaClip" operator (kmegaclip) performs clipping on the Input
- % data object (i), limiting the range of values in the object. Upper and
- % lower cutoff values can be specified as either single constant values
- % (lc, uc), or sets of values passed in as data objects (ilc, iuc). It is
- % not necessary to specify both the Upper Cutoff and the Lower Cutoff.
- %
- % All data values in the Input object that are LESS THAN the Lower Cutoff
- % are set to the Lower Cutoff in the resulting Output object, unless the
- % alternate "Lower Cutoff Output Value" (fval) is explicitly provided. If
- % this value is provided, clipped data are set to that value instead of the
- % Lower Cutoff. Likewise, data values GREATER THAN the Upper Cutoff are set
- % to the Upper Cutoff, unless the alternate "Upper Cutoff Output Value" is
- % explicitly provided. All other data remain the same.
- % "Exception": Any time that both the upper and lower cutoff values are
- % provided, and the upper cutoff is LESS THAN the lower cutoff, then data
- % values between the two cutoffs are always set equal to the "Lower Cutoff
- % Output Value" (fval).
- %
- % The following four diagrams illustrate how the data is clipped for different
- % combinations of upper and lower cutoffs. The plots are example data
- % histograms. Clipping output assignment rules are given following the diagrams.
- % .KS
- %
- % "\fBLower Cutoff Only:"" 5
- %
- %
- % \f(CW
- % lower cutoff result: |<-F->|<----T---->|
- % | | : . |
- % | .:.:. .::: |
- % |:. .::::::.::::: |
- % |::::::::::::::::.|
- % ------|------------
- % lower cutoff (lc)
- %
- % if value < lc cutoff result = False
- % if value >= lc cutoff result = True
- % "
- %
- % .KE
- % .KS
- %
- % "\fBUpper Cutoff Only:"" 5
- %
- %
- % \f(CW
- % upper cutoff result: |<----T---->|<-F->|
- % | : | . |
- % | .:.:. .::: |
- % |:. .::::::.::::: |
- % |::::::::::::::::.|
- % ------------|------
- % upper cutoff (uc)
- %
- % if value > uc cutoff result = False
- % if value <= uc cutoff result = True
- % "
- %
- % .KE
- % .KS
- %
- % "\fBUpper Cutoff is Greater than Lower Cutoff:"" 5
- % When both upper and lower cutoff values are specified, and the upper cutoff
- % is GREATER THAN the lower cutoff, the combined cutoff result is the logical
- % AND of the individual results.
- %
- %
- % \f(CW
- % lower cutoff result: |<-F->|<----T---->|
- % upper cutoff result: |<----T---->|<-F->|
- %
- % combined cutoff result: |<-F->|<-T->|<-F->|
- % | | : | . |
- % | .:.:. .::: |
- % |:. .::::::.::::: |
- % |::::::::::::::::.|
- % ------|-----|------
- % lc uc
- %
- % if value < lc OR value > uc cutoff result = False
- % if value >= lc AND value <= uc cutoff result = True
- % "
- %
- % .KE
- % .KS
- %
- % "\fBUpper Cutoff is Less than Lower Cutoff:"" 5
- % When both upper and lower cutoff values are specified, but the upper cutoff
- % is LESS THAN the lower cutoff, the combined cutoff result is the logical
- % OR of the individual results. (Specifying the lower cutoff to be greater
- % than the upper cutoff inverts the operation.)
- % In this case, the false value assigned to the output will always be fval.
- %
- %
- % \f(CW
- % upper cutoff result: |<-T->|<----F---->|
- % lower cutoff result: |<----F---->|<-T->|
- %
- % combined cutoff result: |<-T->|<-F->|<-T->|
- % | | : | . |
- % | .:.:. .::: |
- % |:. .::::::.::::: |
- % |::::::::::::::::.|
- % ------|-----|------
- % uc lc
- %
- % if value < lc AND value > uc cutoff result = False
- % if value >= lc OR value <= uc cutoff result = True
- % "
- %
- % .KE
- %
- % Clipping results are assigned according to the following rules. ("Lower
- % result" and "upper result" are either the clipping values or fval and
- % tval - see discussion above.)
- %
- % "1. When lower cutoff < upper cutoff" 5
- % If the data value is less than the lower cutoff, set the
- % output value to "lower result".
- % If the data value is greater than the upper cutoff, set
- % the output value to "upper result".
- % Otherwise, the data value remains the same.
- %
- % "2. When upper cutoff < lower cutoff" 5
- % If the data value is less than the upper cutoff and
- % it is greater than the lower cutoff, set output
- % value to the "lower result".
- % Otherwise, the data value remains the same.
- %
- % When upper and lower cutoff values are equal, the only data values that
- % are evaluated as TRUE are those that are equal to the cutoff values.
- %
- % "Data Type" 5
- % .cI $DATAMANIP/repos/shared/man/sections/value_type_1input
- %
- % "Data Objects of Different Sizes" 5
- % If, in addition to the input data object (i), upper or lower cutoff
- % objects (ilc, iuc) are supplied,
- % the source objects can be of different sizes. If the sizes are different,
- % the size of the destination object's data will be the the same as that of
- % the input data object. When resizing the cutoff objects, the data is
- % zero padded, or truncated to the size of the input object.
- % Alignment between the input files will always be the upper-left hand corner,
- % position (0,0,0,0,0).
- %
- % "Map Data - Single Input" 5
- % .cI $DATAMANIP/repos/shared/man/sections/map_1input
- %
- % "Map Data - Multiple Input Objects" 5
- % .cI $DATAMANIP/repos/shared/man/sections/map_2input
- %
- % "Validity Mask - Single Input" 5
- % .cI $DATAMANIP/repos/shared/man/sections/mask_1input
- %
- % "Validity Mask - Multiple Input Objects" 5
- % .cI $DATAMANIP/repos/shared/man/sections/mask_2input
- %
- % "Explicit Location and Time Data - Single Input" 5
- % .cI $DATAMANIP/repos/shared/man/sections/loc_and_time_1input
- %
- % "Explicit Location and Time Data - Two Input Objects" 5
- % .cI $DATAMANIP/repos/shared/man/sections/loc_and_time_2input
- %
- % "Failure Modes - Single Input"
- % .cI $DATAMANIP/repos/shared/man/sections/fail_1input
- %
- % "Failure Modes - Two Input Objects"
- % .cI $DATAMANIP/repos/shared/man/sections/fail_2input
- %
- % Executing "MegaClip" runs the program \fIkclip\fP with the -thresh
- % option set to FALSE (-thresh 0).
- %
- %
- %
- % EXAMPLES
- %
- % "SEE ALSO"
- % DATAMANIP::kclipabove, DATAMANIP::kclipbelow, DATAMANIP::kclipin,
- % DATAMANIP::kclipout, DATAMANIP::kclip
- %
- % RESTRICTIONS
- %
- % REFERENCES
- %
- % COPYRIGHT
- % Copyright (C) 1993 - 1997, Khoral Research, Inc. ("KRI") All rights reserved.
- %
- function varargout = kkmegaclip(varargin)
- if nargin ==0
- Inputs={};arglist={'',''};
- elseif nargin ==1
- Inputs=varargin{1};arglist={'',''};
- elseif nargin ==2
- Inputs=varargin{1}; arglist=varargin{2};
- else error('Usage: [out1,..] = kkmegaclip(Inputs,arglist).');
- end
- if size(arglist,2)~=2
- error('arglist must be of form {''ParameterTag1'',value1;''ParameterTag2'',value2}')
- end
- narglist={'i', '__input';'o', '__output';'ilc', '__input';'iuc', '__input'};
- maxval={0,0,1,1};
- minval={0,0,1,1};
- istoggle=[0,0,1,1];
- was_set=istoggle * 0;
- paramtype={'InputFile','OutputFile','InputFile','InputFile'};
- % identify the input arrays and assign them to the arguments as stated by the user
- if ~iscell(Inputs)
- Inputs = {Inputs};
- end
- NumReqOutputs=1; nextinput=1; nextoutput=1;
- for ii=1:size(arglist,1)
- wasmatched=0;
- for jj=1:size(narglist,1)
- if strcmp(arglist{ii,1},narglist{jj,1}) % a given argument was matched to the possible arguments
- wasmatched = 1;
- was_set(jj) = 1;
- if strcmp(narglist{jj,2}, '__input')
- if (nextinput > length(Inputs))
- error(['Input ' narglist{jj,1} ' has no corresponding input!']);
- end
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- elseif strcmp(narglist{jj,2}, '__output')
- if (nextoutput > nargout)
- error(['Output nr. ' narglist{jj,1} ' is not present in the assignment list of outputs !']);
- end
- if (isempty(arglist{ii,2}))
- narglist{jj,2} = 'OK_out';
- else
- narglist{jj,2} = arglist{ii,2};
- end
- nextoutput = nextoutput + 1;
- if (minval{jj} == 0)
- NumReqOutputs = NumReqOutputs - 1;
- end
- elseif isstr(arglist{ii,2})
- narglist{jj,2} = arglist{ii,2};
- else
- if strcmp(paramtype{jj}, 'Integer') & (round(arglist{ii,2}) ~= arglist{ii,2})
- error(['Argument ' arglist{ii,1} ' is of integer type but non-integer number ' arglist{ii,2} ' was supplied']);
- end
- if (minval{jj} ~= 0 | maxval{jj} ~= 0)
- if (minval{jj} == 1 & maxval{jj} == 1 & arglist{ii,2} < 0)
- error(['Argument ' arglist{ii,1} ' must be bigger or equal to zero!']);
- elseif (minval{jj} == -1 & maxval{jj} == -1 & arglist{ii,2} > 0)
- error(['Argument ' arglist{ii,1} ' must be smaller or equal to zero!']);
- elseif (minval{jj} == 2 & maxval{jj} == 2 & arglist{ii,2} <= 0)
- error(['Argument ' arglist{ii,1} ' must be bigger than zero!']);
- elseif (minval{jj} == -2 & maxval{jj} == -2 & arglist{ii,2} >= 0)
- error(['Argument ' arglist{ii,1} ' must be smaller than zero!']);
- elseif (minval{jj} ~= maxval{jj} & arglist{ii,2} < minval{jj})
- error(['Argument ' arglist{ii,1} ' must be bigger than ' num2str(minval{jj})]);
- elseif (minval{jj} ~= maxval{jj} & arglist{ii,2} > maxval{jj})
- error(['Argument ' arglist{ii,1} ' must be smaller than ' num2str(maxval{jj})]);
- end
- end
- end
- if ~strcmp(narglist{jj,2},'OK_out') & ~strcmp(narglist{jj,2},'OK_in')
- narglist{jj,2} = arglist{ii,2};
- end
- end
- end
- if (wasmatched == 0 & ~strcmp(arglist{ii,1},''))
- error(['Argument ' arglist{ii,1} ' is not a valid argument for this function']);
- end
- end
- % match the remaining inputs/outputs to the unused arguments and test for missing required inputs
- for jj=1:size(narglist,1)
- if strcmp(paramtype{jj}, 'Toggle')
- if (narglist{jj,2} ==0)
- narglist{jj,1} = '';
- end;
- narglist{jj,2} = '';
- end;
- if ~strcmp(narglist{jj,2},'__input') && ~strcmp(narglist{jj,2},'__output') && istoggle(jj) && ~ was_set(jj)
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- if strcmp(narglist{jj,2}, '__input')
- if (minval{jj} == 0) % meaning this input is required
- if (nextinput > size(Inputs))
- error(['Required input ' narglist{jj,1} ' has no corresponding input in the list!']);
- else
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- end
- else % this is an optional input
- if (nextinput <= length(Inputs))
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- else
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- end;
- else
- if strcmp(narglist{jj,2}, '__output')
- if (minval{jj} == 0) % this is a required output
- if (nextoutput > nargout & nargout > 1)
- error(['Required output ' narglist{jj,1} ' is not stated in the assignment list!']);
- else
- narglist{jj,2} = 'OK_out';
- nextoutput = nextoutput + 1;
- NumReqOutputs = NumReqOutputs-1;
- end
- else % this is an optional output
- if (nargout - nextoutput >= NumReqOutputs)
- narglist{jj,2} = 'OK_out';
- nextoutput = nextoutput + 1;
- else
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- end
- end
- end
- end
- if nargout
- varargout = cell(1,nargout);
- else
- varargout = cell(1,1);
- end
- global KhorosRoot
- if exist('KhorosRoot') && ~isempty(KhorosRoot)
- w=['"' KhorosRoot];
- else
- if ispc
- w='"C:\Program Files\dip\khorosBin\';
- else
- [s,w] = system('which cantata');
- w=['"' w(1:end-8)];
- end
- end
- [varargout{:}]=callKhoros([w 'kclip" -thresh'],Inputs,narglist);