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 '

