In this paper, the modified color motif co-occurrence matrix (MCMCM) is presented for
content-based image retrieval. The proposed method collects the inter-correlation between …

This paper presents a novel evaluationary approach to extract color-texture features for
image retrieval application namely Color Directional Local Quinary Pattern (CDLQP). The …

A new image indexing and retrieval system for content based image retrieval (CBIR) is
proposed in this paper. The characteristics (vector points) of image are computed using …

In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated
Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram …

This work represents a modified curvelet transform (MCT) and its combination with
vocabulary tree (VT) for feature collection and retrieval of the images from database. MCT …

In this paper, a novel content descriptor, multichannel local ternary co-occurrence pattern
(MCLTCoP) is proposed for image retrieval. Standard local ternary co-occurrence pattern …

In this paper, combinations of spatial orientation tree (SOT), two-dimensional complex
wavelet transform (CWT) and vocabulary tree (VT) is used for feature collection and retrieval …

In this paper, a combination of a'trous wavelet transform (AWT) and Julesz's texton elements
are used to generate the texton image. Further, texton co-occurrence matrix is obtained from …

Texture is a dominant tool for feature extraction. Incorporation of inter-channel chromatic
information along with the texture feature will improve the accuracy of feature extraction. This …

With the growth of digital networks such as the Internet, digital media have been explosively
developed in e-commerce and online services. This causes problems such as illegal copy …