Toolbox diffc

toolbox_diffc/

• compute_crossp_vf_vf(v1,v2)
• compute_deviator_tensor(T)
• compute_diff.m
• compute_flow.m
• compute_grad.m
• compute_gradient_tensor(M,h,options)
• compute_hessian(M,options)
• compute_hodge_decompositon(v,options)
• compute_laplacian.m
• compute_local_maxima.m
• compute_operator_1.m
• compute_operator_2.m
• compute_rigidity_tensor(M,options)
• compute_structure_tensor(M,sigma1,sigma2, options)
• compute_tensor_field(n, pos,type, options)
• compute_tensor_field_random(n,options)
• compute_vf_angle(v,dir)
• compute_vf_polar_dec.m
• compute_vf_trajectory(points0, vf, options)
• div(Px,Py, options)
• grad(M, options)
• load_flow.m
• perform_angle_doubling(v,dir)
• perform_conjugate_gradient(A,y,options)
• perform_fluid_dynamics(v,M,options)
• perform_image_advection(M,v, options)
• perform_orientation_diffusion.m
• perform_tensor_decomp.m
• perform_tensor_decomp_3d(in1,in2)
• perform_tensor_eigendecomposition(e1,e2,l1,l2)
• perform_tensor_mapping(T,dir)
• perform_tensor_recomp.m
• perform_vf_integration(vf, dt,T_list, options )
• perform_vf_normalization(v)
• perform_vf_reorientation(v, options)
• plot_tensor_field(H, M, options)
• plot_tensor_field(H, M, options)
• plot_tf(T,M)
• plot_vf(vf, M, options)
• plot_vf_scaterred.m
• prod_tf_sf.m
• prod_tf_tf(A,B)
• prod_tf_vf.m
• prod_vf_sf.m
• prod_vf_vf.m
• publish_html(filename, outputDir, stylesheet)
• toolbox_diffc.m

toolbox_diffc/tests/

• test_cg.m
• test_diffc.m
• test_div_grad.m
• test_flow.m
• test_hessian.m
• test_incompressible_fluid.m
• test_orientation_diffusion.m
• test_singular_points.m
• test_structure_tensor.m
• test_tensor_3d.m
• test_texture_advection.m
• test_vf_integration.m
• test_vf_reorientation.m

toolbox_diffc/toolbox/

• clamp.m
• compute_gaussian_filter.m
• compute_movie_file(A, filename, options)
• compute_periodic_poisson(d, symmetrize)
• crop(M,n,c)
• getoptions(options, name, v, mendatory)
• imageplot(M,str, a,b,c)
• load_image(type, n, options)
• nb_dims.m
• perform_blurring(M, sigma, options)
• perform_convolution(x,h, bound)
• perform_histogram_equalization(x,y,options)
• progressbar(n,N,w)
• rescale(x,a,b)