Greeting, I have been trying to extract some regions from the face In this case (upper lip) using Dlib, the thing is after extracting the ROI (which look perfect) I realized that there is some noise around the ROI Can't figure out what I'm doing wrong, and how to resolve this issue. This is the used Python code:
import cv2
import numpy as np
import dlib
import os
from scipy import ndimage, misc
import time
def extract_index_nparray(nparray):
index = None
for num in nparray[0]:
index = num
break
return index
img = cv2.imread( 'input_facial_image.jpg')
img=cv2.resize(img,(512,512))
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
mask = np.zeros_like(img_gray)
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("/facial-landmarks-recognition/shape_predictor_68_face_landmarks.dat")
# Face 1
faces = detector(img_gray)
for face in faces:
landmarks = predictor(img_gray, face)
landmarks_points = []
for n in [48,49,50,51,52,53,54,64,63,62,61,60]:
x = landmarks.part(n).x
y = landmarks.part(n).y
landmarks_points.append((x, y))
points = np.array(landmarks_points, np.int32)
convexhull = cv2.convexHull(points)
# cv2.polylines(img, [convexhull], True, (255, 0, 0), 3)
cv2.fillConvexPoly(mask, convexhull, 255)
face_image_1 = cv2.bitwise_or(img, img, mask=mask)
cv2.imwrite('extracted_lips.jpg', face_image_1 )
The extracted image looks like this : upper lips extracted image But in further steps in my work, I realized a noise around the upper lip, so I examined and I found unclean_upperlip Is there any way to get rid of the noise during the ROI extracting or any image processing technique to bypass this issue? Thanks in advance
