Remaps an image to log-polar space

dst = cv.logPolar(src, center, M)
dst = cv.logPolar(..., 'OptionName',optionValue, ...)

Input

• src Source image.
• center The transformation center; where the output precision is maximal.
• M Magnitude scale parameter.

Output

• dst Destination image, same size and type as src.

Options

• Interpolation Interpolation method, default 'Linear'. One of:
  • Nearest nearest neighbor interpolation
  • Linear bilinear interpolation
  • Cubic bicubic interpolation
  • Lanczos4 Lanczos interpolation over 8x8 neighborhood
• FillOutliers flag, fills all of the destination image pixels. If some of them correspond to outliers in the source image, they are set to zero. default true
• InverseMap flag, inverse transformation, default false. For example, polar transforms:
  • flag is not set: Forward transformation dst(phi,rho) = src(x,y)
  • flag is set: Inverse transformation dst(x,y) = src(phi,rho)

Transforms the source image using the following transformation:

dst(phi,rho) = src(x,y)

where:

rho = M * log(sqrt(x^2 + y^2))
phi = atan(y/x)

The function emulates the human "foveal" vision and can be used for fast scale and rotation-invariant template matching, for object tracking and so forth.