Implementation of Cyclostationary Process Analysis in Search Retrieval for Precious Recognition | Abstract

ISSN: 2320-2459

Research Article Open Access

Implementation of Cyclostationary Process Analysis in Search Retrieval for Precious Recognition

Abstract

In CBIR, local features play a significant role in determining the similarity of images along with the shape information of the objects so this reason encourage authors to apply local features in literatures. One of the famous shapes features are one-dimensional normalized contour sequence moments which extracted from Gradient Vector Flow fields are used to compute the edge image, which will capture the object shape information. GVF fields give excellent results in determining the object boundaries irrespective of the concavities involved. In addition, Other Shape feature such as Hu Moments and edge histogram are not as efficient as GVF Fields because in mentioned shape feature extraction methods omits useful information which decrease retrieval percentage

Tohid Sedghi

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