def prewittEdgeDetector(self,img,shape=(5,5)):
filter = Filters()
op = Operations()
sx = filter.prewittKernel(shape,axis=0)
dx = op.doConvolution(sx,img)
sy = filter.prewittKernel(shape,axis=1)
dy = op.doConvolution(sy,img)
delta = np.power(np.add(np.power(dx,2),np.power(dy,2)),0.5)
return delta
def marrHildrethDetector(self,img,slope_threshold,shape=(5,5),sigma=5):
filter = Filters()
op = Operations()
log = filter.laplaceOfGaussianKernel(shape,sigma)
detect = op.doConvolution(log,img)
return detect
