Abstract: Content-based image retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties ...

This paper introduces a robust approach to estimate contour saliences by exploiting the relation between a contour and its skeleton, modifies the original ...

The results indicate segment saliences as the most effective descriptor for this particular application and confirm the improvement of the contour salience ...

This paper presents an efficient method to identify the contour of an object in a given image and retrieve similar images. Initially major noise in an image is ...

Abstract. This work exploits the resemblance between content-based image retrieval and image analysis with respect to the design of image descriptors.

May 5, 2016 · This paper shows the shape retrieval descriptor based on saliences by exploiting the relation between a contour and its skeleton.

This paper shows the shape retrieval descriptor based on saliences by exploiting the relation between a contour and its skeleton. The saliences are a very ...

Then for more efficient retrieval again the retrieved images are then compared for texture .Now because of the texture of salience retrieved image more accurate.

The work presented in this article aims at shape feature extraction and description. In this paper, we propose a shape-based image retrieval technique using ...

To retrieve the relevant images from the database we use the Shape salience features ... An effective solution for trademark image retrieval by combining ...