A survey of moment invariants for feature extraction

Various object recognition techniques utilize abstract characterizations for efficient object representation and comparison. Such characterizations are typically defined by measurable object features extracted from various types of imagery and any a priori knowledge available. Similarity between characterizations is interpreted as similarity between the objects themselves. In this paper, we are primarily interested in techniques that utilizing global feature. This requirement necessitates the extraction of object features that are invariant to scale, translation, and/or orientation. Another important issue is the presence of image noise and robustness of object features to such corruption. Finally, space and time efficiency of a representation technique is an issue for applications where the compactness of the object characterization and speed of classification is critical

کلیدواژه ها:

Geometric moments ، Orthogonal moments ، Invariants