segment               package:EBImage               R Documentation

_S_e_g_m_e_n_t_a_t_i_o_n _a_n_d _e_d_g_e _d_e_t_e_c_t_i_o_n

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

     Fucntions to segment images and detect edges.

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

       ## S4 method for signature 'Image':
       edge(x, r=0, ...)
       ## S4 method for signature 'Image':
       segment(x, cl=10, s=1.5, ...)

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

       x: An object of 'Image'. 

       r: The radius of the pixel neighbourhood to take into account. 
          The 0 value enables automatic radius selection. 

      cl: Minimum cluster size in pixels . 

       s: The smoothing threshold. 

     ...: Reserved. 

_D_e_t_a_i_l_s:

     'edge' returns an image of edges between different colours in the 
     original image. Most effective on binary images.

     'segment' segment an image by analyzing the histograms of the
     color  components and identifying units that are homogeneous with
     the fuzzy  C-means technique (source and implementation
     'ImageMagick'). The smoothing threshold eliminates noise in the
     second derivative of the  histogram. As the value is increased,
     you can expect a smoother second derivative.

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

     A transformed image in an object of 'Image'.

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

     Oleg Sklyar, osklyar@ebi.ac.uk, 2005-2006

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

     _ImageMagick_: <URL: http://www.imagemagick.org>.

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

     ' Image '

