def getUniformCircularLBPImgFAST(self):
l = Log()
self.hist = []
transformed_img = np.zeros((self.height,self.width))
for p in self.pixels:
x=p[0]
y=p[1]
center = self.img[x,y]
pixels = []
for point in range(1, self.P + 1):
r = x + self.R * math.cos(2 * math.pi * point / self.P)
c = y - self.R * math.sin(2 * math.pi * point / self.P)
if r < 0 or c < 0:
pixels.append(0)
continue
if int(r) == r:
if int(c) != c:
c1 = int(c)
c2 = math.ceil(c)
w1 = (c2 - c) / (c2 - c1)
w2 = (c - c1) / (c2 - c1)
pixels.append(int((w1 * self.get_pixel_else_0(self.img, int(r), int(c)) + \
w2 * self.get_pixel_else_0(self.img, int(r), math.ceil(c))) / (w1 + w2)))
else:
pixels.append(self.get_pixel_else_0(self.img, int(r), int(c)))
elif int(c) == c:
r1 = int(r)
r2 = math.ceil(r)
w1 = (r2 - r) / (r2 - r1)
w2 = (r - r1) / (r2 - r1)
pixels.append((w1 * self.get_pixel_else_0(self.img, int(r), int(c)) + \
w2 * self.get_pixel_else_0(self.img, math.ceil(r), int(c))) / (w1 + w2))
else:
pixels.append(self.bilinear_interpolation(r, c, self.img))
values = self.thresholded(center, pixels)
res = self.lblDict[tuple(values)]#self.find_variations(values)
'''
if variations:
res = 0
for a in range(0, len(values)):
res += values[a] * 2 ** a
transformed_img.itemset((x,y), res)
self.hist.append(res)
'''
if res > -1:
transformed_img.itemset((x,y), res)
self.hist.append(res)
l.printLog('Duration UniformCircularLBP:')
return transformed_img, self.hist
def getBasicLBPImgFAST(self):
l = Log()
transformed_img = np.zeros((self.height,self.width))
for p in self.pixels:
y = p[0]
x = p[1]
try:
center = self.img[y,x]
top_left = 1 if self.img[y-1,x-1] < center else 0
top_up = 2 if self.img[y,x-1] < center else 0
top_right = 4 if self.img[y+1,x-1] < center else 0
right = 8 if self.img[y+1,x] < center else 0
left = 16 if self.img[y-1,x] < center else 0
bottom_left = 32 if self.img[y-1,x+1] < center else 0
bottom_right = 64 if self.img[y+1,x+1] < center else 0
bottom_down = 128 if self.img[y,x+1] < center else 0
res = top_left + top_up + top_right + right + bottom_right + bottom_down + bottom_left + left
transformed_img.itemset((y,x), res)
except:
pass
l.printLog('Duration BasicLBP:')
return transformed_img, None
