保存拆分的文本行opencv

import cv2
import numpy as np

def split_text_lines(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # 使用Canny边缘检测
    edges = cv2.Canny(gray, 50, 150)
    
    # 使用霍夫变换检测直线
    lines = cv2.HoughLinesP(edges, 1, np.pi / 180, threshold=100, minLineLength=100, maxLineGap=10)
    
    if lines is not None:
        for line in lines:
            x1, y1, x2, y2 = line[0]
            cv2.line(image, (x1, y1), (x2, y2), (0, 0, 255), 2)
    
    # 显示结果
    cv2.imshow('Text Lines', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

# 调用函数
split_text_lines('path_to_your_image.jpg')

def preprocess_image(image):
    blurred = cv2.GaussianBlur(image, (5, 5), 0)
    enhanced = cv2.equalizeHist(cv2.cvtColor(blurred, cv2.COLOR_BGR2GRAY))
    return enhanced

gray = preprocess_image(image)