单目视觉海浪测距代码

单目视觉海浪测距是通过使用单个摄像头来测量海浪的距离。以下是一个简单的单目视觉海浪测距代码的示例：

import cv2
import numpy as np

def calculate_distance(image):
    # 图像预处理
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
    edges = cv2.Canny(blurred, 50, 150)

    # 检测直线
    lines = cv2.HoughLines(edges, 1, np.pi / 180, threshold=100)

    # 计算距离
    if lines is not None:
        for line in lines:
            rho, theta = line[0]
            a = np.cos(theta)
            b = np.sin(theta)
            x0 = a * rho
            y0 = b * rho
            x1 = int(x0 + 1000 * (-b))
            y1 = int(y0 + 1000 * (a))
            x2 = int(x0 - 1000 * (-b))
            y2 = int(y0 - 1000 * (a))
            cv2.line(image, (x1, y1), (x2, y2), (0, 0, 255), 2)

        distance = lines[0][0][0]  # 假设第一条直线为海浪边界线
        return distance

    return None

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

# 测量距离
distance = calculate_distance(image)

if distance is not None:
    print("海浪距离为:", distance)
else:
    print("未检测到海浪边界线")

cv2.imshow("Image", image)
cv2.waitKey(0)
cv2.destroyAllWindows()

这段代码使用OpenCV库进行图像处理和直线检测。首先，将图像转换为灰度图像，并进行高斯模糊和边缘检测。然后，使用霍夫变换检测直线，并计算距离。最后，将检测到的直线绘制在图像上，并显示出来。