The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …

Aiming at the time-consuming problem caused by large computational load of radar image
retrieval, based on blocking histogram, Sobel edge detection operator and gray level co …

Grey‐level co‐occurrence matrix (GLCM) is a widely used texture feature descriptor that is
extracted from grey‐level images. A considerable amount of work in the literature has been …

The number of wheat ears in the field is very important data for predicting crop growth and
estimating crop yield and as such is receiving ever-increasing research attention. To obtain …

Image retrieval is the process of retrieving images from a database. Certain algorithms have
been used for traditional image retrieval. However, such retrieval involves certain limitations …

The rapidly increasing number of digital images requires effective retrieval. Meanwhile, the
dominant color descriptor has been widely used in image processing. Due to the influence …

In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …

Research on content-based image retrieval (CBIR) has been under development for
decades, and numerous methods have been competing to extract the most discriminative …

The separation of coal and gangue is an important aspect of coal production, which can
improve coal quality, save energy, reduce consumption, and enable the rational use of …

Steganography is to hide secret information in a normal cover, so that the secret information
cannot be detected. With the rapid development of steganography, it's more and more …