Question

我有一个图像，我想找到块中的中位数，然后显示它。这是我的代码：

img = cv2.imread('pic.png', 0)

win = 5   
height, width = img.shape    

MedianOfBlock = {}  

for i in range(0, (height-2*win)):
  for j in range(0, (width- 2*win)):
     block = np.array(img[i:i+win, j:j+win])

     # Compute the median in each window
     MedianOfBlock[i,j] = np.median(block)

但是为了进一步处理，MedianOfBlock应该是数组类型。不是字典类型。我该怎么做？或者有没有办法以数组形式进行上述处理而不是字典类型？即如何将MedianOfBlock初始化为数组赋值？感谢。

Answer 1

如您所知，维度可以：

height_max = height - 2 * win
width_max = width - 2 * win
array_form = [
  [ MedianOfBlock[i,j] for j in range(width_max) ] for i in range(height_max)
]

但我建议您从一开始就使用矩阵数据结构：

img = cv2.imread('pic.png', 0)

win = 5   
height, width = img.shape

MedianOfBlock = []

for i in range(height-2*win):
  MedianOfBlock.append([])
  for j in range(width-2*win):
     block = np.array(img[i:i+win, j:j+win])

     # Compute the median in each window
     MedianOfBlock[i].append(np.median(block))

Answer 2

以下是否适合您？它应该形成一个列表列表

mg = cv2.imread('pic.png', 0)

win = 5   
height, width = img.shape    

MedianOfBlock = []

for i in range(0, (height-2*win)):
  row = []
  for j in range(0, (width- 2*win)):
     block = np.array(img[i:i+win, j:j+win])

     # Compute the median in each window
     row.append(np.median(block))

  MedianOfBlock.append(row)

访问它的方式与代码中的方式相同

MedianOfBlock[i][j]

如何在数组类型中初始化变量，如何为其赋值？

2 个答案: