'**SUMMARY**
Find the mean color of the boundary rectangle.
**RETURNS**
Returns an  RGB triplet that corresponds to the mean color of the feature.
**EXAMPLE**
>>> img = Image("lenna")
>>> face = HaarCascade("face.xml")
>>> faces = img.findHaarFeatures(face)
>>> print faces[-1].meanColor()'

def meanColor(self):

    crop = self.image[self.points[0][0]:self.points[1][0], self.points[0][1]:self.points[2][1]]
    return crop.meanColor()
