首页使用pycharm对图像进行处理提取轮廓，测量尺寸

使用pycharm对图像进行处理提取轮廓，测量尺寸

时间: 2023-11-17 18:53:42 浏览: 102

以下是使用Pycharm对图像进行处理提取轮廓，测量尺寸的步骤： 1. 导入相关的库和模块 ```python import cv2 import numpy as np ``` 2. 加载图像 ```python img = cv2.imread('image.jpg') ``` 3. 灰度化处理 ```python gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ``` 4. 滤波处理 ```python blurred = cv2.GaussianBlur(gray, (5, 5), 0) ``` 5. 边缘检测 ```python edged = cv2.Canny(blurred, 30, 150) ``` 6. 轮廓提取 ```python contours, hierarchy = cv2.findContours(edged, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) ``` 7. 绘制轮廓 ```python cv2.drawContours(img, contours, -1, (0, 0, 255), 2) ``` 8. 测量尺寸 ```python for c in contours: # 计算轮廓周长 perimeter = cv2.arcLength(c, True) # 计算轮廓面积 area = cv2.contourArea(c) # 计算轮廓包围框 x, y, w, h = cv2.boundingRect(c) # 绘制包围框 cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2) # 显示测量结果 print("Perimeter: {:.2f}".format(perimeter)) print("Area: {:.2f}".format(area)) ``` 9. 显示处理结果 ```python cv2.imshow("Contours", img) cv2.waitKey(0) cv2.destroyAllWindows() ``` 完整代码： ```python import cv2 import numpy as np img = cv2.imread('image.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) blurred = cv2.GaussianBlur(gray, (5, 5), 0) edged = cv2.Canny(blurred, 30, 150) contours, hierarchy = cv2.findContours(edged, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) cv2.drawContours(img, contours, -1, (0, 0, 255), 2) for c in contours: perimeter = cv2.arcLength(c, True) area = cv2.contourArea(c) x, y, w, h = cv2.boundingRect(c) cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2) print("Perimeter: {:.2f}".format(perimeter)) print("Area: {:.2f}".format(area)) cv2.imshow("Contours", img) cv2.waitKey(0) cv2.destroyAllWindows() ```

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