I WANT Python source code of The improved normalized horizontal tilt angle (INH) filter, proposed by Li et al. (2014), is an edge-detection filter that is an improvement upon the normalized horizontal tilt angle (TDX) filter developed by Cooper and Cowan (2006) and can be given like attached formula image.
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import sys, getopt
opts, args = getopt.getopt(sys.argv[1:], "g:x:y:z:p:")
for opt, arg in opts:
if opt == '-g': g = arg
if opt == '-x': x = arg
if opt == '-y': y = arg
if opt == '-z': z = arg
if opt == '-p': p = arg
def INH (g, x, y, z, p):
from sympy import diff, symbols
import math
g, x, y, z = symbols('g x y z')
a = float((diff(g,x)))
b = float((diff(g,y)))
c = float(abs(diff(g,z)))
p = float(p)
k = math.sqrt((a**2 + b**2)) / (p + c)
k = math.atan(k)
return k
v = INH(g, x, y, z, p)
print(v)
# sample call: py rg_question.py -g 1.0 -x 1.0 -y 1.0 -z 1.0 -p 1.0
It relies on Python module sympy which can do partial differentiation (https://docs.sympy.org/latest/modules/solvers/pde.html). I am not an expert at mathematics so you might need to amend the above, sympy has a pile of different methods which you could use to suit.
Thank You very Much Derek Colly and May GOD Bless you I will try to use the above .
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