Home > Source > Evaluation > eval_groupwise_multi_point.m

eval_groupwise_multi_point

PURPOSE ^

==============================================================

SYNOPSIS ^

function [score, warped_points] = eval_groupwise_multi_point(knot_displacements, init_knots, unwarped_image_vec, unwarped_points_vec, image_set, points_set, n_modes, start_points_vec, warp_params, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evaluation_method, kernel)

DESCRIPTION ^

 ==============================================================
 OPTIMISE_GROUPWISE: Uses PDF's to minimise group-wise complexity

    GENERAL

      function [score, warped_points] = 
       eval_groupwise_multi_point(knot_displacements, init_knots,
       unwarped_image_vec, unwarped_points_vec, image_set, points_set,
       n_modes, start_points_vec, warp_params, model_evaluation_method,
       weighting_normalisation_method, shape_weight, variation_kept)

 
    INPUT/S

      -X:
          X
           
    OUTPUT/S

      -X:
           X

    PENDING WORK
      
      

    KNOWN BUG/S

      

    COMMENT/S

      

    RELATED FUNCTION/S

      

    ABOUT

      -Created:     February 9th, 2004
      -Last update: February 2004
      -Revision:    0.1.0
      -Author:      R. S. Schestowitz, University of Manchester
 ==============================================================

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function [score, warped_points] = eval_groupwise_multi_point(knot_displacements, init_knots, unwarped_image_vec, unwarped_points_vec, image_set, points_set, n_modes, start_points_vec, warp_params, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evaluation_method, kernel)
0002 % ==============================================================
0003 % OPTIMISE_GROUPWISE: Uses PDF's to minimise group-wise complexity
0004 %
0005 %    GENERAL
0006 %
0007 %      function [score, warped_points] =
0008 %       eval_groupwise_multi_point(knot_displacements, init_knots,
0009 %       unwarped_image_vec, unwarped_points_vec, image_set, points_set,
0010 %       n_modes, start_points_vec, warp_params, model_evaluation_method,
0011 %       weighting_normalisation_method, shape_weight, variation_kept)
0012 %
0013 %
0014 %    INPUT/S
0015 %
0016 %      -X:
0017 %          X
0018 %
0019 %    OUTPUT/S
0020 %
0021 %      -X:
0022 %           X
0023 %
0024 %    PENDING WORK
0025 %
0026 %
0027 %
0028 %    KNOWN BUG/S
0029 %
0030 %
0031 %
0032 %    COMMENT/S
0033 %
0034 %
0035 %
0036 %    RELATED FUNCTION/S
0037 %
0038 %
0039 %
0040 %    ABOUT
0041 %
0042 %      -Created:     February 9th, 2004
0043 %      -Last update: February 2004
0044 %      -Revision:    0.1.0
0045 %      -Author:      R. S. Schestowitz, University of Manchester
0046 % ==============================================================
0047 
0048 % scale it all down to try and get it to move more!
0049 % init_knots = init_knots*0.01;
0050 % start_points_vec = start_points_vec*0.01;
0051 
0052 warped_points = nrr_trans_1d(start_points_vec, init_knots, init_knots + knot_displacements, warp_params, []);
0053 warped_image = interp1(unwarped_points_vec,unwarped_image_vec,warped_points, 'linear',0);
0054 image_set(:,size(image_set,2)+1) = warped_image;
0055 points_set(:,size(points_set,2)+1) = warped_points;
0056 
0057 groupwise_pdf = compute_pdf(image_set, points_set, kernel, shape_weight);
0058 score = measure_pdf(groupwise_pdf, pdf_evaluation_method, warped_image);
0059 
0060 % score = 0; % to be modified w.r.t. eval_groupwise_single_point

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