Question

Which type of features are extracted using geometric moments?

Answer 1

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* scale extracted using geometric moments.

*Moment extracted using geometric moment.

*zernike extracted using geometric moments.

Answer 2

Answer:

There are a number of ways to extract and classify shapes.

> Measure the similarity distance between a known and an unknown shape. A detailed presentation of similarity distance is given in my book Topology of Digital Images. Visual Pattern Discovery in Proximity Spaces (now in press at Springer), available in December or by mid-January.

> one-dimensional function for shape representation (centroid, gradient orientation, gradient, gradient magnitude in a particular direction, shape area, shape diameter, Zernike moment, triangle area, quadrilateral area chord length, and so on).

> polynomial approximation (distance threshold method tunneling method, polygon evaluatiaon, and so on).

> spatial interrelation (bounding box, inner box, chord distribution and so on).

> Moments (boundary moments, region moments such as Zernike, invariant moments, and so on).

> scale space methods (e.g., intersection points map).

> shape transform domain (e.g., Fourier descriptors, wavelet transform, shapelets, and so on).