OpenCV处理图像方法实例

import sys
import cv2
import numpy as np


class operating_on_images:
    def __init__(self,input_file='sunrise.jpg'):
        self.img=None
        self.input_file=input_file
    def load_imge(self):
        self.img = cv2.imread(self.input_file)
        cv2.imshow('Original', self.img)
    def plt_image(self):
        import matplotlib.pyplot as plt
        # plt.show()
        plt.imshow(self.img)
        plt.show()
    def image_Cropping(self):
        h, w = self.img.shape[:2]
        start_row, end_row = int(0.21*h), int(0.73*h)
        start_col, end_col=  int(0.37*w), int(0.92*w)
        self.img_cropped =self.img[start_row:end_row, start_col:end_col]
        cv2.imshow('Cropped', self.img_cropped)
    def image_resize(self,scaling_factor=1.3):
        # Resizing an image
        img_scaled = cv2.resize(self.img, None, fx=scaling_factor, fy=scaling_factor,
                interpolation=cv2.INTER_LINEAR)
        cv2.imshow('Uniform resizing', img_scaled)
        img_scaled = cv2.resize(self.img, (250, 400), interpolation=cv2.INTER_AREA)
        cv2.imshow('Skewed resizing', img_scaled)
    def image_save(self):
        # Save an image
        output_file = self.input_file[:-4] + '_cropped.jpg'
        cv2.imwrite(output_file, self.img_cropped)
        cv2.waitKey()
test=operating_on_images()
test.load_imge()
# test.image_Cropping()
# test.image_resize()
# test.image_save()
test.plt_image()