激光条纹中心线提取Steger算法 python

你可以使用Python实现Steger算法来提取激光条纹的中心线。以下是一个简单的示例代码：

import cv2
import numpy as np

def steger_algorithm(image):
    # 转换为灰度图像
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # 计算梯度
    grad_x = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=3)
    grad_y = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=3)
    
    # 计算梯度幅值和方向
    mag, ang = cv2.cartToPolar(grad_x, grad_y)
    
    # 进行非最大抑制
    mag_max = cv2.dilate(mag, None, iterations=3)
    mag_mask = np.zeros_like(mag)
    mag_mask[mag >= mag_max] = 255
    
    # 应用阈值
    _, thresholded = cv2.threshold(mag_mask, 50, 255, cv2.THRESH_BINARY)
    
    # 进行霍夫直线检测
    lines = cv2.HoughLines(thresholded, 1, np.pi/180, 100)
    
    # 计算中心线的坐标
    center_lines = []
    for line in lines:
        rho, theta = line[0]
        if theta < np.pi/4 or theta > 3*np.pi/4:
            x1 = int(rho / np.cos(theta))
            y1 = 0
            x2 = int((rho - gray.shape[0]*np.sin(theta)) / np.cos(theta))
            y2 = gray.shape[0]
        else:
            x1 = 0
            y1 = int(rho / np.sin(theta))
            x2 = gray.shape[1]
            y2 = int((rho - gray.shape[1]*np.cos(theta)) / np.sin(theta))
        center_lines.append((x1, y1, x2, y2))
    
    return center_lines

# 读取图像
image = cv2.imread('image.jpg')

# 提取中心线
center_lines = steger_algorithm(image)

# 绘制中心线
for line in center_lines:
    x1, y1, x2, y2 = line
    cv2.line(image, (x1, y1), (x2, y2), (0, 255, 0), 2)

# 显示图像
cv2.imshow('Center Lines', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

请注意，这只是一个简单的示例代码，你可能需要根据你的具体需求进行适当的调整和优化。