(具体zip包详见这里)
import math
from skimage import io, color
import numpy as np
from tqdm import trange
class Cluster(object):
cluster_index = 1
def __init__(self, h, w, l=0, a=0, b=0, d=0):
self.update(h, w, l, a, b, d)
self.pixels = []
self.no = self.cluster_index
Cluster.cluster_index += 1
def update(self, h, w, l, a, b, d):
self.h = h
self.w = w
self.l = l
self.a = a
self.b = b
self.d = d
def __str__(self):
return "{},{}:{} {} {} {} ".format(self.h, self.w, self.l, self.a, self.b, self.d)
def __repr__(self):
return self.__str__()
class SLICProcessor(object):
@staticmethod
def open_image(path):
"""
Return:
3D array, row col [LAB]
"""
rgb = io.imread(path)
lab_arr = color.rgb2lab(rgb)
return lab_arr
@staticmethod
def image(path):
rgb = io.imread(path)
return rgb
@staticmethod
def save_lab_image(path, lab_arr):
"""
Convert the array to RBG, then save the image
:param path:
:param lab_arr:
:return:
"""
rgb_arr = color.lab2rgb(lab_arr)
io.imsave('./SLIC-D/'+path, rgb_arr)
def make_cluster(self, h, w):
return Cluster(h, w,
self.data[h][w][0],
self.data[h][w][1],
self.data[h][w][2],
self.depth[h][w][0])
def __init__(self, filename1,filename2, K, M, A):
self.K = K
self.M = M
self.A = A
self.data = self.open_image(filename1)
self.depth = self.image(filename2)
self.image_height = self.data.shape[0]
self.image_width = self.data.shape[1]
self.N = self.image_height * self.image_width
self.S = int(math.sqrt(self.N / self.K))
self.clusters = []
self.label = {}
self.dis = np.full((self.image_height, self.image_width), np.inf)
def init_clusters(self):
h = self.S / 2
w = self.S / 2
while h < self.image_height:
while w < self.image_width:
self.clusters.append(self.make_cluster(h, w))
w += self.S
w = self.S / 2
h += self.S
def get_gradient(self, h, w):
if w + 1 >= self.image_width:
w = self.image_width - 2
if h + 1 >= self.image_height:
h = self.image_height - 2
gradient = self.data[h + 1][w + 1][0] - self.data[h][w][0] +
self.data[h + 1][w + 1][1] - self.data[h][w][1] +
self.data[h + 1][w + 1][2] - self.data[h][w][2] +
self.depth[h+1][w+1][0]-self.depth[h][w][0]
return gradient
def move_clusters(self):
for cluster in self.clusters:
cluster_gradient = self.get_gradient(cluster.h, cluster.w)
for dh in range(-1, 2):
for dw in range(-1, 2):
_h = cluster.h + dh
_w = cluster.w + dw
new_gradient = self.get_gradient(_h, _w)
if new_gradient < cluster_gradient:
cluster.update(_h, _w, self.data[_h][_w][0], self.data[_h][_w][1], self.data[_h][_w][2], self.depth[_h][_w][0])
cluster_gradient = new_gradient
def assignment(self):
for cluster in self.clusters:
for h in range(cluster.h - 2 * self.S, cluster.h + 2 * self.S):
if h < 0 or h >= self.image_height: continue
for w in range(cluster.w - 2 * self.S, cluster.w + 2 * self.S):
if w < 0 or w >= self.image_width: continue
L, A, B = self.data[h][w]
G =self.depth[h][w][0]
Dc = math.sqrt(
math.pow(L - cluster.l, 2) +
math.pow(A - cluster.a, 2) +
math.pow(B - cluster.b, 2))
Ds = math.sqrt(
math.pow(h - cluster.h, 2) +
math.pow(w - cluster.w, 2))
D_d = math.sqrt(
math.pow(G - cluster.d, 2)
)
D = math.sqrt(math.pow(Dc / self.M, 2) + math.pow(Ds / self.S, 2)+math.pow(D_d/self.A,2))
if D < self.dis[h][w]:
if (h, w) not in self.label:
self.label[(h, w)] = cluster
cluster.pixels.append((h, w))
else:
self.label[(h, w)].pixels.remove((h, w))
self.label[(h, w)] = cluster
cluster.pixels.append((h, w))
self.dis[h][w] = D
def update_cluster(self):
for cluster in self.clusters:
sum_h = sum_w = number = 0
for p in cluster.pixels:
sum_h += p[0]
sum_w += p[1]
number += 1
_h = sum_h / number
_w = sum_w / number
cluster.update(_h, _w, self.data[_h][_w][0], self.data[_h][_w][1], self.data[_h][_w][2], self.depth[_h][_w][0])
def save_current_image(self, name):
image_arr = np.copy(self.data)
for cluster in self.clusters:
for p in cluster.pixels:
image_arr[p[0]][p[1]][0] = cluster.l
image_arr[p[0]][p[1]][1] = cluster.a
image_arr[p[0]][p[1]][2] = cluster.b
image_arr[cluster.h][cluster.w][0] = 0
image_arr[cluster.h][cluster.w][1] = 0
image_arr[cluster.h][cluster.w][2] = 0
self.save_lab_image(name, image_arr)
def iterate_10times(self):
self.init_clusters()
self.move_clusters()
for i in trange(10):
self.assignment()
self.update_cluster()
name = 'With_Depth_M{m}_K{k}_loop{loop}.png'.format(loop=i, m=self.M, k=self.K)
self.save_current_image(name)
if __name__ == '__main__':
p = SLICProcessor('imgc8_3.png','imgd8_3.png', 500, 40, 10)
p.iterate_10times()
# p = SLICProcessor('Lenna.png', 300, 40)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 500, 40)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 1000, 40)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 200, 5)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 300, 5)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 500, 5)
# p.iterate_10times()
# p = SLICProcessor('Lenna.png', 1000, 5)
# p.iterate_10times()
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