% *  This code was used in the following articles:
% *  [1] Learning 3-D Scene Structure from a Single Still Image, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
% *      (best paper)
% *  [2] 3-D Reconstruction from Sparse Views using Monocular Vision, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on Virtual Representations and Modeling 
% *      of Large-scale environments (VRML), 2007. 
% *  [3] 3-D Depth Reconstruction from a Single Still Image, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      International Journal of Computer Vision (IJCV), Aug 2007. 
% *  [6] Learning Depth from Single Monocular Images, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      In Neural Information Processing Systems (NIPS) 18, 2005.
% *
% *  These articles are available at:
% *  http://make3d.stanford.edu/publications
% * 
% *  We request that you cite the papers [1], [3] and [6] in any of
% *  your reports that uses this code. 
% *  Further, if you use the code in image3dstiching/ (multiple image version),
% *  then please cite [2].
% *  
% *  If you use the code in third_party/, then PLEASE CITE and follow the
% *  LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
% *
% *  Finally, this code is for non-commercial use only.  For further 
% *  information and to obtain a copy of the license, see 
% *
% *  http://make3d.stanford.edu/publications/code
% *
% *  Also, the software distributed under the License is distributed on an 
% * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either 
% *  express or implied.   See the License for the specific language governing 
% *  permissions and limitations under the License.
% *
% */
function [NewInd]= regroup(Sup,y,x,Flag, seglist)

% This function regroup the superpixel to surraounding index
MaxInd = max(Sup(:));
mask = logical(zeros(size(Sup)));
mask(sub2ind(size(Sup),y,x)) = true;
% check Flag OK
classified = LineProj(seglist,x, y );
if any(classified ~= Flag)
   disp('wired in regroup');
end
SE = strel('disk',3);
mask_dilate = imdilate(mask,SE);
mask_dilate(mask) = 0;
[y_di x_di] = find(mask_dilate);
classified = LineProj(seglist,x_di, y_di);
if true%sum(classified == Flag) == 0
%   disp('error in regroup'); 
   NewInd = MaxInd+1;
else
NewInd = mode(Sup( sub2ind(size(Sup),y_di(classified == Flag),...
              x_di(classified == Flag) )));
end

return;