JavaCV Basics: Rotating

Rotating an image is a common task. This article reviews how to rotate a matrix using JavaCV.

These tutorials utilize GoatImage. The Image object used in the code examples comes from this library.

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Rotation Matrix

The rotation matrix  is used to map from one pixel position to another. The matrix, shown below, uses trigonometric functions.


Rotation is a linear transformation. A linear transformation uses a function to map from one matrix to another. In image processing, the matrix kernel is used to perform this mapping.

Rotation in JavaCV 3

Rotation in JavaCV 3 utilizes a generated rotation matrix and the warp affine function. The function getRotationMatrix2D generates a two dimensional matrix using a center Point2f, angle, and a scale.

    * Rotate an image by a specified angle using an affine transformation.
    * @param image      The image to rotate
    * @param angle      The angle to rotate by
    * @return           A rotated Image
  def rotateImage(image : Image,angle : Double):Image={
    val srcMat = new Mat(image.image)
    val outMat = new Mat(srcMat.cols(),srcMat.rows(),srcMat.`type`())
    val cosv = Math.cos(angle)
    val sinv = Math.sin(angle)
    val width = image.image.width
    val height = image.image.height
    val cx = width/2
    val cy = height/2

    //(image.image.width*cosv + image.image.height*sinv, image.image.width*sinv + image.image.height*cosv);
    val rotMat : Mat = getRotationMatrix2D(new Point2f(cx.toInt,cy.toInt),angle,1)

    new Image(new IplImage(outMat),,image.itype)

The Angle

The angle in OpenCV and thus JavaCV is centered at -45 degrees due to the use of vertical contouring. If an image is less than -45 degrees, adding 90 degrees will correct this offset.

val angle = if(minAreaRect.angle < -45.0) minAreaRect.angle + 90 else minAreaRect.angle


In this tutorial we reviewed the function in GoatImage for rotating images using OpenCv. The functions getRotationMatrix2D and warpAffine were introduced. Basic kernel processing was introduced as well.


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