Extract the similar images using the grey level co-occurrence matrix and the Hu invariants moments

Abstract EN

In the last years, many types of research have introduced different methods and techniques for a correct and reliable image retrieval system.

The goal of this paper is a comparison study between two different methods which are the Grey level co-occurrence matrix and the Hu invariants moments, and this study is done by building up an image retrieval system employing each method separately and comparing between the results.

The Euclidian distance measure is used to compute the similarity between the query image and database images.

Both systems are evaluated according to the measures that are used in detection, description, and matching fields which are precision, recall, and accuracy, and addition to that mean square error (MSE) and structural similarity index (SSIM) is used.

And as it shows from the results the Grey level co-occurrence matrix (GLCM) had outstanding and better results from the Hu invariants moment n the last years, many types of research have introduced different methods and techniques for a correct and reliable image retrieval system.

The goal of this paper is a comparison study between two different methods which are the Grey level co-occurrence matrix and the Hu invariants moments, and this study is done by building up an image retrieval system employing each method separately and comparing between the results.

The Euclidian distance measure is used to compute the similarity between the query image and database images.

Both systems are evaluated according to the measures that are used in detection, description, and matching fields which are precision, recall, and accuracy, and addition to that mean square error (MSE) and structural similarity index (SSIM) is used.

And as it shows from the results the Grey level co-occurrence matrix (GLCM) had outstanding and better results from the Hu invariants moment method