pythonpictureanalysis/Modify_Pixels.py
2022-07-26 21:27:11 +08:00

65 lines
1.7 KiB
Python

# -*- coding: utf-8 -*-
# @Time : 2022-7-24 0024 16:42
# @Author : Qing
# @Email : derighoid@gmail.com
# @File : Modify_Pixels.py
# @Software: PyCharm
import os
# 导入库
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
class modfifyImage():
def __init__(self, filePath):
self.filePath = filePath
# 图片读取
def imageRead(self):
if self.filePath == " ":
print("Please full in the file path")
else:
face = Image.open(self.filePath)
return face
# 图片转矩阵
def imageMatrix(self):
im = np.array(self.imageRead())
return im
# 图片像素反转
def pixInversion(self):
im2 = 255 - self.imageMatrix()
plt.figure()
plt.imshow(im2)
plt.show()
return im2
# 显示图像三通道颜色
def img_RGB(self):
root="E:\\桌面\\Python_Picture_Analysis\\data\\" # 图片保存地址
red = self.imageMatrix().copy()
red[:, :, 1:3] = 0
green = self.imageMatrix().copy()
green[:, :, ::2] = 0
blue = self.imageMatrix().copy()
blue[:, :, :2] = 0
x, y = plt.subplots(2, 2)
x.set_size_inches(10, 10)
y[0, 0].imshow(self.imageMatrix())
y[0, 1].imshow(red)
y[1, 0].imshow(green)
y[1, 1].imshow(blue)
# 图片保存
Image.fromarray(np.uint8(red)).save(root + 'picture1' + '.jpg')
Image.fromarray(np.uint8(blue)).save(root + 'picture2' + '.jpg')
Image.fromarray(np.uint8(green)).save(root + 'picture3' + '.jpg')
plt.show()
return red,green,blue
# 获得该点的类型
def get_imgType(self, x, y):
return type(self.imageMatrix()[x, y])