def otsu_one(img, img_file, man_img, mask=None):
# cv2.GaussianBlur(img, (5,5),0)
# Bilateral Filter is used separately so it can be adjusted for each type of segmentation
blur = cv2.bilateralFilter(img, 5, 5, 5)
th = single_threshold_otsu(blur, mask)
if mask is None:
ret, thresh = cv2.threshold(blur, th, 255, cv2.THRESH_BINARY)
else:
combined_img = cv2.bitwise_and(blur, blur, mask=mask)
ret, thresh = cv2.threshold(combined_img, th, 255, cv2.THRESH_BINARY)
# Otsu result image
out_img_o = thresh
# morphological ops
kernel = morphologicalOps.open_center_kernel()
out_img_o = morphologicalOps.opening(out_img_o, kernel)
out_info_o = "_otsu_%d" % (th)
out_str_o = out_info_o + '.png'
out_file_o = re.sub(r'\.jpg', out_str_o, img_file)
cv2.imwrite(out_file_o, out_img_o)
t = evaluation.findTotals(out_img_o, man_img)
f = open('o1_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) +
" " + str(t[3]) + "\n")
f.close()
def bilateral_filter(img, seed, th, img_file, out_info, man_img):
img_b = cv2.bilateralFilter(img, 5, 5, 5)
# SRG result image
out_img_b = seeded_region_growing(img_b, seed, th)
# morphological ops
kernel = morphologicalOps.open_elliptical_kernel()
out_img_b = morphologicalOps.opening(out_img_b, kernel)
out_str_b = out_info + '_b.png'
out_file_b = re.sub(r'\.jpg', out_str_b, img_file)
cv2.imwrite(out_file_b, out_img_b)
t = evaluation.findTotals(out_img_b, man_img)
f = open('b_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) + " " + str(t[3]) + "\n")
f.close()
def unsmoothed(img, seed, th, img_file, out_info, man_img):
img_n = img
# SRG result image
out_img_n = seeded_region_growing(img_n, seed, th)
# Morphological op
kernel = morphologicalOps.open_elliptical_kernel()
out_img_n = morphologicalOps.opening(out_img_n, kernel)
out_str_n = out_info + '_n.png'
out_file_n = re.sub(r'\.jpg', out_str_n, img_file)
cv2.imwrite(out_file_n, out_img_n)
t = evaluation.findTotals(out_img_n, man_img)
f = open('n_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) + " " + str(t[3]) + "\n")
f.close()
def bilateral_filter(img, seed, th, img_file, out_info, man_img):
img_b = cv2.bilateralFilter(img, 5, 5, 5)
# SRG result image
out_img_b = seeded_region_growing(img_b, seed, th)
# morphological ops
kernel = morphologicalOps.open_cross_kernel()
out_img_b = morphologicalOps.opening(out_img_b, kernel)
out_str_b = out_info + '_b.png'
out_file_b = re.sub(r'\.jpg', out_str_b, img_file)
cv2.imwrite(out_file_b, out_img_b)
t = evaluation.findTotals(out_img_b, man_img)
f = open('b_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) + " " + str(t[3]) + "\n")
f.close()
def unsmoothed(img, seed, th, img_file, out_info, man_img):
img_n = img
# SRG result image
out_img_n = seeded_region_growing(img_n, seed, th)
# Morphological op
kernel = morphologicalOps.open_cross_kernel()
out_img_n = morphologicalOps.opening(out_img_n, kernel)
out_str_n = out_info + '_n.png'
out_file_n = re.sub(r'\.jpg', out_str_n, img_file)
cv2.imwrite(out_file_n, out_img_n)
t = evaluation.findTotals(out_img_n, man_img)
f = open('n_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) + " " + str(t[3]) + "\n")
f.close()
def otsu_one(img, img_file, man_img, mask=None):
# cv2.GaussianBlur(img, (5,5),0)
# Bilateral Filter is used separately so it can be adjusted for each type of segmentation
blur = cv2.bilateralFilter(img, 5, 5, 5)
th = single_threshold_otsu(blur, mask)
if mask is None:
ret, thresh = cv2.threshold(blur,th,255,cv2.THRESH_BINARY)
else:
combined_img = cv2.bitwise_and(blur, blur, mask=mask)
ret, thresh = cv2.threshold(combined_img,th,255,cv2.THRESH_BINARY)
# Otsu result image
out_img_o = thresh
# morphological ops
kernel = morphologicalOps.open_elliptical_kernel()
out_img_o = morphologicalOps.opening(out_img_o, kernel)
out_info_o = "_otsu_%d" % (th)
out_str_o = out_info_o + '.png'
out_file_o = re.sub(r'\.jpg', out_str_o, img_file)
cv2.imwrite(out_file_o, out_img_o)
t = evaluation.findTotals(out_img_o, man_img)
f = open('o1_all.txt', 'a')
f.write(img_file + " " + str(t[0]) + " " + str(t[1]) + " " + str(t[2]) + " " + str(t[3]) + "\n")
f.close()