# Simplest way to replace a color

I'm trying to change a color to another in a given image.

I'm getting quite good performace with "Solution 1", but maybe there is a simplest (and also an as fast way) to get the same results with SimpleCV.

Solution 1 - Numpy solution:

```
# color: color to be replaced
# newColor: replacing color
nimg = img.getNumpy()
indices = np.where(
(nimg[:,:,0] == color[0]) & # RGB values
(nimg[:,:,1] == color[1]) &
(nimg[:,:,2] == color[2])
)
nimg[indices] = newColor
newImage = Image(nimg)
```

Solution 2 - Nested-Loop solution:

```
width, height = img.size()
y = 0
while y < height:
x = 0
while x < width:
if img[x, y] == color:
img[x, y] = newColor
x+=1
y+=1
```

Solution 1 is, in average, more than 40 times faster than solution 2.

Any thoughts with another solution as fast as Solution 1 with SimpleCV API?

Thanks in advance.