Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …

This paper presents an effective image retrieval method by combining high-level features
from convolutional neural network (CNN) model and low-level features from dot-diffused …

This paper presents a technique for content-based image retrieval (CBIR) by exploiting the
advantage of low-complexity ordered-dither block truncation coding (ODBTC) for the …

This paper proposes a new hybrid framework for Content-Based Image Retrieval (CBIR)
system to address the accuracy issues associated with the traditional image retrieval …

A real world problem of image retrieval and searching is considered in this paper. In modern
generation, managing images from a large storage medium is not a straightforward job …

In this paper we propose a novel image representation method that characterizes an image
as a spatiogram--a generalized histogram--of colors quantized by Gaussian Mixture Models …

Content based image retrieval is a common problem for a large image database. Many
methods have been proposed for image retrieval for some particular type of datasets. In the …

This paper presents a new approach to index color images using the features extracted from
the error diffusion block truncation coding (EDBTC). The EDBTC produces two color …

Image thresholding is a process that separates particular object within an image from their
background. An optimal thresholding technique can be taken as a single objective …

In this paper, we have proposed a novel feature descriptors combining color and texture
information collectively. In our proposed color descriptor component, the inter-channel …