如何去除图片左边缘的这条亮线？

Question

我想从 bin 文件创建图像。一代之后我注意到左边有一条白线。创建的图像还可以，但我认为白线减少了图片的动态范围，小值不太明显。

Python 中的代码可以让我创建图像：

import matplotlib.pyplot as plt
import numpy as np
import time
from PIL import Image
import math
import numpy as np
import json
import pickle
import matplotlib.cm as cm
import PIL.ImageOps
#from libtiff import TIFFfile, TIFFimage
import tifffile

def micronToStep(v):
    #approximately 62nm/step
    return round((v * 1000)/62)

def normalizeData(data):
    return (data - np.min(data)) / (np.max(data) - np.min(data))

def moving_average(x, w):
    return np.convolve(x, np.ones(w), 'valid') / w

def annot_max(x,y, ax=None):
    xmax = x[np.argmax(y)]
    ymax = y.max()
    text= "x={:.3f}, y={:.3f}".format(xmax, ymax)
    if not ax:
        ax=plt.gca()
    bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
    arrowprops=dict(arrowstyle="->",connectionstyle="angle,angleA=0,angleB=60")
    kw = dict(xycoords='data',textcoords="axes fraction",
              arrowprops=arrowprops, bbox=bbox_props, ha="right", va="top")
    ax.annotate(text, xy=(xmax, ymax), xytext=(0.94,0.96), **kw)


fo = open('saveData2.bin', 'rb')
data = pickle.load(fo)
fo.close()


print("xyStep: ", data['xyStep'])
print("xRange: ", data['xRange'])
print("yRange: ", data['yRange'])
print("zRange: ", data['zRange'])
print("zBase: ", data['zBase'])

dimX = math.ceil(data['xRange'] / data['xyStep'])
dimY = math.ceil(data['yRange'] / data['xyStep'])
print(dimX, dimY)
img = np.zeros((dimX, dimY)).astype('uint16')

zRange = data['zRange']
imgData = data['data']
minValue = 999999999
maxValue = -999999999


for i in range(0, dimX):
    for j in range(0, dimY):
        if type(imgData[i][j]) is np.ndarray:

            try:
                smoothed = moving_average(imgData[i][j], 10)
                height = smoothed.argmax() # / smoothed.shape[0]) * zRange
            except TypeError:
                height = 0

            #if imgData[i][j] is None:
            #    height = 0
            #    print("none", i,j)
            #else:
            #    height = imgData[i][j].argmax()

            img[i][j] = height
            minValue = min(minValue, height)
            maxValue = max(maxValue, height)
            
           
print("Min: ", minValue)
print("Max: ", maxValue)


tifffile.imwrite('saveData2.tif', img)

创建的图像如下所示：

左边有一条白线，它的长度是图片的长度，宽度是一个像素。

问题是如何在处理时将其去除以增加图片其他部分的动态范围？

Answer 1

只是扩展克里斯托夫的评论。

用以下方法切断最左边的列：

im = im[:, 1:]

将最左边的列归零：

im[:, 0] = 0