0001 function [param_list, warped_points, warped_image, score] = optimise_groupwise(ref_image, ref_points, unwarped_image, unwarped_points, spline_type, placement_method, n_points, verbose, do_plot, subplot_fig, pane, column, image_width, number_of_images, verbose_score, model_evaluation_method, n_modes, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel, precision_required)
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0048 [grid, steps] = setup_grid(2, unwarped_image, ref_points, placement_method, n_points);
0049
0050 if (do_plot),
0051 figure(subplot_fig);
0052 subplot(number_of_images, column, pane, 'replace');
0053 plot(unwarped_image);
0054 axis([0 image_width 0 1]);
0055 drawnow;
0056 end
0057
0058 warp_params.green = 'biharmCPS';
0059 param_list = [];
0060 start_image = unwarped_image;
0061 start_points = unwarped_points;
0062
0063 if(strcmp(spline_type,'single_point'))
0064 last_score = eval_groupwise_single_point(zeros(size(grid)),grid, steps, unwarped_image, unwarped_points, ref_image, ref_points, n_modes, start_points, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel);
0065 [params, score] = fminsearch(@eval_groupwise_single_point,zeros(size(grid)),optimset('Display',verbose,'TolX', precision_required),grid,steps,start_image, start_points, ref_image, ref_points, n_modes, start_points, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel);
0066 param_list(size(param_list,1)+1).d = params;
0067 [dummy,start_points] = eval_groupwise_single_point(params,grid,steps, start_image, start_points, ref_image, ref_points, n_modes, start_points, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel);
0068 start_image = interp1(unwarped_points,unwarped_image,start_points, 'linear',0);
0069 elseif(strcmp(spline_type,'multi_point'))
0070 warped_grid = grid;
0071 warp_params.green = 'biharmCPS';
0072 last_score = eval_groupwise_multi_point(zeros(size(grid)),grid, unwarped_image, unwarped_points, ref_image, ref_points, n_modes, start_points, warp_params, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel);
0073 [params, score] = fminsearch(@eval_groupwise_multi_point,zeros(size(grid)),optimset('Display',verbose,'TolX', precision_required),grid, unwarped_image, unwarped_points, ref_image, ref_points, n_modes, start_points, warp_params, model_evaluation_method, weighting_normalisation_method, shape_weight, variation_kept, pdf_evalution_method, kernel);
0074 param_list(size(param_list,1)+1,:).d = params;
0075 warped_grid = grid + params;
0076 start_points = nrr_trans_1d(start_points, grid, warped_grid, warp_params,[]);
0077 start_image = interp1(unwarped_points,unwarped_image,start_points, 'linear',0);
0078 else
0079 error('Unknown spline type');
0080 end
0081
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0083 if (verbose_score == 1),
0084 disp(['Initial score: ',num2str(last_score),' Final score: ', num2str(score), ' Difference: ', num2str(last_score - score)]);
0085 end
0086
0087 warped_points = start_points;
0088 warped_image = start_image;
0089
0090
0091 if (do_plot),
0092 figure(subplot_fig);
0093 subplot(number_of_images, column ,pane, 'replace');
0094 plot(warped_image);
0095 axis([0 image_width 0 1]);
0096 title(num2str(score));
0097 drawnow;
0098 end