opencv - 如何从一维子阵列中选择白色像素最少和最大的子阵列？

如何从一维numpy子数组的数组中选择子数组？

def distancesplit(self):
  img = np.asarray(Image.open("testtwo.tif").convert('L'))
  img = 1 * (img < 127)
  area = (img == 0).sum()
  areasplit = np.split(img, 24) # splitting an image array into 24
  print areasplit
for i in areasplit: # compute white pixel area in splitted parts-arrays
  result = (i == 0).sum()
  print result
for i in areasplit: #converting 2D array inro 1D
  b = i.ravel()
# Now I need o select from "b" 1D array the subarrays  with minimal and maximal number of white pixels. I need it for distance metrics between these subarrays. Thank you.

最佳答案

在每个子矩阵(在这种情况下为行或列)上使用求和函数(http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#sum)，然后从结果中找到最小值和最大值。

关于opencv - 如何从一维子阵列中选择白色像素最少和最大的子阵列？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/18332857/