imganiso2D              package:adimpro              R Documentation

_c_r_e_a_t_e _a_n _i_m_a_g_e _t_h_a_t _v_i_s_u_a_l_i_z_e_s _a_n_i_s_o_t_r_o_p_y

_D_e_s_c_r_i_p_t_i_o_n:

     The function creates an object of class 'adimpro' that visualizes
     anisotropy information  using the HSI color space for  main
     direction of anisotropy (H), 'maximum eigenvalue^satexp' (S) and
     log(excentricity) (I).

_U_s_a_g_e:

     imganiso2D(x, satexp = 0.25, g=3, rho=0)

_A_r_g_u_m_e_n_t_s:

       x: a field of 2D tensors (Dimension 'c(3,n1,n2)') or an object
          of class '"adimpro"'.  

  satexp: exponent for maximum eigenvalue in saturation channel.
          Determines the contrast in this channel.

       g: Bandwidth for anisotropic smoothing gradient estimates,
          preferably 'g >= 3' for images with line type texture and
          small  'g \approx 1' for improving edges between homogeneous
          regions. 

     rho: Regularization parameter for anisotropic smoothing gradient
          estimates, preferably 'rho = 0' for images with line type
          texture and large  'rho \approx 3*variance' for improving
          edges between homogeneous regions. 

_V_a_l_u_e:

     an object (image) of class 'adimpro'.

_A_u_t_h_o_r(_s):

     Karsten Tabelow tabelow@wias-berlin.de and Joerg Polzehl
     polzehl@wias-berlin.de

_R_e_f_e_r_e_n_c_e_s:

     Polzehl, J. and Tabelow, K. (2007). Adaptive smoothing of digital
     images, Journal of Statistical Software 19 (1).

_S_e_e _A_l_s_o:

     'awsaniso','read.image', 'read.raw', 'make.image', 'show.image',
     'clip.image'

_E_x_a_m_p_l_e_s:

     ## Not run: demo(awsimage)
     ## Not run: demo(manipulate)

