//Width and height of magMat should be even, so that they can be divided by 2 //-2 is 11111110 in binary system, operator & make sure width and height are always even magMat = magMat(Rect(0, 0, magMat.cols & -2, magMat.rows & -2)); //Rearrange the quadrants of Fourier i...
编写程序: import cvimport math def LRotate(image,angle): h = image.height w = image.width anglePi = angle*math.pi/180.0 cosA = math.cos(anglePi) sinA = math.sin(anglePi) X1 = math.ceil(abs(0.5*h*cosA + 0.5*w*sinA)) X2 = math.ceil(abs(0.5*h*cosA - 0.5*w*sinA)) Y1 =...
创建python脚本rotation.py,并输入以下内容: # 导入库importnumpyasnpimportargparseimportcv2# 定义旋转rotate函数defrotate(image,angle,center=None,scale=1.0):# 获取图像尺寸(h,w)=image.shape[:2]# 若未指定旋转中心,则将图像中心设为旋转中心ifcenterisNone:center=(w/2,h/2)# 执行旋转M=cv2.getRotatio...
cv2.imshow("Rotated by imutils",rotated) cv2.waitKey(0) 封装rotate方法 工具类imutils.py def rotate(image, angle ,center= None,scale =1.0): (h,w)= image.shape[:2] ifcenterisNone: center =(w /2,h/2) M = cv2.getRotationMatrix2D(center,angle,scale) rotated = cv2.warpAffine(image...
center: center of the image (the point about which rotation has to happen) angle: angle by which image has to be rotated in the anti-clockwise direction. rotated: ndarray that holds the rotated image data scale: 1.0 mean, the shape is preserved. Other value scales the image by the val...
IplImage *dst = 0; // 旋转角度 int angle = 90; src = cvLoadImage("E://aa.jpg",CV_LOAD_IMAGE_COLOR); cvNamedWindow("src", 1); cvShowImage("src", src); dst = rotateImage(src, angle, false); cvNamedWindow("dst", 2); cvShowImage("dst", dst); ...
doubleangle = 0;//需要记录角度 Point2f center=Point2f(rotateSrc.rows/2,rotateSrc.cols/2); Size fixSize; Rect mask; Mat temp = Mat(rotateSrc.size(),CV_8UC3); for(inti = 0; i < contours.size(); i++){ RotatedRect rect = minAreaRect(contours[i]); ...
在第18行我们使用了:imutils这个自己写的库,然后调用了rotate()方法。第一个参数是需要操作的图像,第二个参数是要旋转的度数。 1.2 自写的函数库 在imutils.py中我们自定义rotate函数 def rotate(image, angle, center=None, scale=1.0): #1 (h, w) = image.shape[:2] #2 ...
// create the rotation matrix using the image centerMat rotation_matix = getRotationMatrix2D(center, angle=45, 1.0); 现在,使用warpAffine()函数将计算的旋转矩阵应用于图像。它需要三个输入: 源图像 旋转矩阵 输出图像的大小 Python # Rotate the image using cv2.warpAffinerotated_image = cv2.warpAffine...
void Rotate(const cv::Mat &srcImage, cv::Mat &dstImage, double angle, cv::Point2f center, double scale) { cv::Mat M = cv::getRotationMatrix2D(center, angle, scale);//计算旋转的仿射变换矩阵 cv::warpAffine(srcImage, dstImage, M, cv::Size(srcImage.cols, srcImage.rows));//仿射变...