import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
img = cv.imread("../SampleImages/stars.png")
plt.imshow(img[:,:,::-1])
img_gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#通过cv.threshold转换为二值图
ret,thresh = cv.threshold(img_gray, 127, 255, 0)
plt.imshow(thresh, cmap=plt.cm.gray)
#轮廓检测
contours,hierarchy = cv.findContours(thresh, 1, 2)
#绘制轮廓
img_contours_org = img.copy()
img_contours_org = cv.drawContours(img_contours_org, contours, -1, (0,255,0), 2)
plt.imshow(img_contours_org[:,:,::-1])
img_rect_contour = img.copy()
for contour in contours:
#1. 绘制直边界矩形
#x,y,w,h = cv.boundingRect(contour)
#contour: 轮廓信息
#x,y,w,h: 矩形左上角(x,y)坐标,以及矩形的宽度和高度
#参考资料:https://blog.csdn.net/hjxu2016/article/details/77833984
x,y,w,h = cv.boundingRect(contour)
img_rect_contour = cv.rectangle(img_rect_contour, (x,y), (x+w,y+h), (0,255,0), 2)
#2. 绘制旋边界矩形结果
#rect = cv.minAreaRect(contour)
#contour:轮廓信息
#rect: 最小外接矩阵的信息(中心(x,y),(w,h),旋转角度)
#参考资料:https://blog.csdn.net/lanyuelvyun/article/details/76614872
rect = cv.minAreaRect(contour)
#使用boxPoints获得最小外接矩阵的4个顶点坐标
box = cv.boxPoints(rect)
#转换为int类型
box = np.intp(box)
#使用cv.polylines绘制外接矩形
cv.polylines(img_rect_contour, [box], True, (0,0,255), 2)
plt.imshow(img_rect_contour[:,:,::-1])
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