来自示波器的照片的磁滞曲线面积。 （OpenCV）

Question

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；我已经尝试了odode和扩张在删除网格之后和之前，但是之后我的曲线很差。也许您可以建议我一种更有效的方法来纠正曲线。

import sys

import cv2
import numpy as np


def remove_grid_lines(src):
    clean_lines_h = remove_lines(src, np.ones((1, 10), np.uint8), np.ones((1, 5), np.uint8))
    clean_lines_v = remove_lines(src, np.ones((10, 1), np.uint8), np.ones((5, 1), np.uint8))
    return cv2.bitwise_not(cv2.bitwise_not(src) - clean_lines_h - clean_lines_v)


def remove_lines(src, kernel1, kernel2):
    erosion = cv2.erode(src, kernel1, iterations=1)
    dilation = cv2.bitwise_not(cv2.dilate(erosion, kernel1, iterations=1))
    clean_lines = cv2.dilate(cv2.erode(dilation, kernel2, iterations=6), kernel2, iterations=6)
    return clean_lines


def main(argv):
    original_image = cv2.resize(cv2.imread(argv[0]), (640, 640))
    grayscale_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)

    grayscale_image = cv2.GaussianBlur(grayscale_image, (3, 3), 0)

    (thresh, binary_image) = cv2.threshold(grayscale_image, 120, 255, cv2.THRESH_BINARY)

    binary_image = cv2.bitwise_not(binary_image)
    cv2.imshow("Original", original_image)
    cv2.imshow("Grayscale", grayscale_image)
    cv2.imshow("Binary", binary_image)

    binary_image = remove_grid_lines(binary_image)

    cv2.imshow("Clean", binary_image)

    cv2.waitKey()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main(sys.argv[1:])