COLOR TEXTURED IMAGE RETRIEVAL BY COMBINING TEXTURE AND COLOR FEATURES

In the experiment, it employs a new color information entropy retrieval method which promotes the concerned isolated pixel color description into the color feature of its

This paper is a study of image retrieval based on color and texture features, the main algorithms include color histogram,color moment,gray level co-occurrence

Recent study [30–35] addressing texture-based image segmentation and classification using very high resolution (VHR) remote sensing images has proved the capacity of the local

Starting from Felsberg’s approach that is originally expressed in the geometric algebra of R 3 ; the extension proposed in [5] is written in the geometric algebra of R 5 for

Photometric reconstruction of a dynamic textured surface from just one color image acquisition.. Benjamin Bringier, David Helbert,

In this way, we propose to extend spatial color decomposition model to spatiotemporal domain, and attempt to separate static texture present in video and real dynamic texture.. To

The major contribution of this paper is to add a noise com- ponent into the image decomposition model for color images in order to better separate texture from noise.. Several

Based on methods designed for gray scale images, we find the combination of micro and macro structures efficient for multis- pectral texture analysis.. The experimentations