在 python 中对二维数组进行阈值处理

Question

我正在尝试在二维数组上达到最小-最大阈值，这需要一些时间，我可能需要在进一步的过程中任何人都知道如何去做

def thresholding(arr,rows,cols,max,min):
    for x in range(arr.shape[0]):
        for y in range(arr.shape[1]):
            for i in range(rows):
                for j in range(cols):
                    if(arr[x,y,i,j] >= max):
                        arr[x,y,i,j] = max
                    elif(arr[x,y,i,j] <= min):
                        arr[x,y,i,j] = min
    return arr

Answer 1

使用numpy.clip:

np.clip(np.array([[1,2,3], [4,5,6]]), 2, 4)   # [[2,2,3], [4,4,4]]

Answer 2

编辑了您的代码

def thresholding(arr,max_,min_):
    '''
    input
    ------
    arr : 2d array
    max_ : Intended max value for threshold
    min_ : Intended min value for threshold
    
    Notes
    ------
    Takes an array with the elements of a, 
    and returns an array where values < min are replaced with min(provided), 
    and those > max with max(provided)
    '''

    for i in range(arr.shape[0]):
      for j in range(arr.shape[1]):
        if arr[i,j] > max_:
          arr[i,j] = max_
        if arr[i,j] < min_:
          arr[i,j] = min_
    return arr

您也可以使用 np.clip，这里有更多 functionalities.refer。 np.clip

在 python 中对二维数组进行阈值处理

Thresholding a Two dimensional array in python

python

arrays

threshold