I have written some code to identify the connected components in a binary image. I have used recursive depth first search. However, for some images, the Python Recursion Limit is not enough. Even though I increase the limit to the maximum supported limit on my computer, the program still fails for some images. How can I iteratively implement DFS? Or is there any other better solution?
My code:
count=1
height = 4
width = 5
g = np.zeros((height+2,width+2))
w = np.zeros((height+2,width+2))
dx = [-1,0,1,1,1,0,-1,-1]
dy = [1,1,1,0,-1,-1,-1,0]
def dfs(x,y,c):
global w
w[x][y]=c
for i in range(8):
nx = x+dx[i]
ny = y+dy[i]
if g[nx][ny] and not w[nx][ny]:
dfs(nx,ny,c)
def find_connected_components(image):
global count,g
g[1:-1,1:-1]=image
for i in range(1,height+1):
for j in range(1,width+1):
if g[i][j] and not w[i][j]:
dfs(i,j,count)
count+=1
mask1 = np.array([[0,0,0,0,1],[0,1,1,0,1],[0,0,1,0,0],[1,0,0,0,1]])
find_connected_components(mask1)
print mask1
print w[1:-1,1:-1]
Input and Output:
[[0 0 0 0 1]
[0 1 1 0 1]
[0 0 1 0 0]
[1 0 0 0 1]]
[[ 0. 0. 0. 0. 1.]
[ 0. 2. 2. 0. 1.]
[ 0. 0. 2. 0. 0.]
[ 3. 0. 0. 0. 4.]]