image segmentation

1 visualización (últimos 30 días)
pdp rpa
pdp rpa el 24 de Mzo. de 2012
Sir i have been trying the following code for image segmentation using dbscan.
But the problem is that this code is runnung infinite time.I am not getting the solution and it has taken away my sleep. plz sir i really need your help.
This is my project work and the deadline is also very near
he = imread('test.jpg');
ab = double(he(:,:,2:3));
nrows = size(ab,1);
ncols = size(ab,2);
X = reshape(ab,nrows*ncols,2);
K=6;
[class,type]=dbscannew(X,K)
%The m file for the function dbscannew is given below : dbscannew.m
function [class,type]=dbscannew(X,K,d)
% [class,type]=dbscan(X,K,d)
% X: matrix
% K: minimal points
% d: maximal distance
% class: assignments
% type: core: 1, border: 0, outlier: -1
if nargin<3
d=epsilon(X,K);
end
m=size(X, 1);
class=zeros(m,1);
type=zeros(m,1);
touched=zeros(m,1);
c=1;
for i=1:m
if touched(i) continue; end
indices=find(distances(X(i,:),X)<=d);
k=length(indices);
if k==1
type(i)=-1;
class(i)=-1;
touched(i)=1;
elseif k<=K
type(i)=0;
class(i)=0;
else
type(i)=1;
class(indices)=c;
while ~isempty(indices)
index=indices(1);
touched(index)=1;
I=find(distances(X(index,:),X)<=d);
if length(I)>1
class(I)=c;
if length(I)<=K;
type(index)=0;
else
type(index)=1;
end
for i=1:length(I)
if touched(I(i)) continue; end
touched(I(i))=1;
indices(end+1)=I(i);
class(I(i))=c;
end
end
indices=indices(2:end);
end
c=c+1;
end
end
I=find(class==0);
class(I)=-1;
type(I)=-1;
function d=epsilon(x,k)
[m,n]=size(x);
d=((prod(max(x)-min(x))*k*gamma(.5*n+1))/(m*sqrt(pi.^n))).^(1/n);
function D=distances(x,X)
D=sqrt(sum((ones(size(X, 1),1)*x-X).^2, 2));

Respuestas (1)

Sivakumaran Chandrasekaran
Sivakumaran Chandrasekaran el 24 de Mzo. de 2012
Hi, Please mail me at siva@sdatech.in.... mail me the exact .m code i could try and let you know.
Regards, Siva
  1 comentario
pdp rpa
pdp rpa el 25 de Mzo. de 2012
thnks Siva. above i have already given the m file for dbscannew and also mailed u. plz help me

Iniciar sesión para comentar.

Categorías

Más información sobre Computer Vision with Simulink en Help Center y File Exchange.

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by