Created
November 22, 2023 04:31
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image process
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| import cv2 | |
| import numpy as np | |
| def preprocess_image(image): | |
| # 二值化 | |
| gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) | |
| _, threshold = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY) | |
| cv2.imwrite("01_threshold.jpg", threshold) | |
| return threshold | |
| def process_image(image): | |
| # 腐蚀膨胀 | |
| kernel = np.ones((10,10), np.uint8) | |
| eroded = cv2.erode(image, kernel, iterations=1) | |
| dilated = cv2.dilate(eroded, kernel, iterations=1) | |
| cv2.imwrite("02_eroded_dilated.jpg", dilated) | |
| return dilated | |
| def remove_small_regions(image): | |
| # 消除小块区域 | |
| contours, _ = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
| for contour in contours: | |
| area = cv2.contourArea(contour) | |
| if area < 500: # 设定阈值，根据实际情况调整 | |
| cv2.drawContours(image, [contour], -1, 0, -1) | |
| cv2.imwrite("03_removed_small_regions.jpg", image) | |
| return image | |
| def find_min_enclosing_rectangle(image): | |
| # 找出最小外接矩形 | |
| contours, _ = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
| for contour in contours: | |
| rect = cv2.minAreaRect(contour) | |
| box = cv2.boxPoints(rect) | |
| box = np.intp(box) | |
| print(box) | |
| image1 = cv2.drawContours(image, [box], 0, 255, 2) | |
| cv2.imwrite("04_min_enclosing_rectangle.jpg", image1) | |
| # 读取输入图像 | |
| image = cv2.imread("1.png") | |
| # 预处理图像 | |
| threshold_image = preprocess_image(image) | |
| # 进行腐蚀膨胀操作 | |
| processed_image = process_image(threshold_image) | |
| # 消除小块区域 | |
| removed_regions_image = remove_small_regions(processed_image) | |
| # 找出最小外接矩形 | |
| find_min_enclosing_rectangle(removed_regions_image) |
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