Statistical distributional approach for scale and rotation invariant color image retrieval using multivariate parametric tests and orthogonality condition
Proposed system retrieves texture and structure images, and invariant for scaling and rotation. Statistical distributional approach such as multivariate parametric tests are used. Test for equality of covariance matrices, and test for equality of mean vectors are employed. Canberra distance is used to compare the features: CV, Skw, Kur, VaCov, SoE, and number of shapes. Sum of product of position vectors is used to test the similarity of the query and target images.
mean vectors position vector target image variancecovariance skewness kurtosis query image tests of hypothesis