A new content‐based image retrieval (CBIR) scheme is proposed based on the optimised
combination of the colour and texture features to enhance the image retrieval precision. This …

Texture is a prominent feature of image and very useful in feature extraction for image
retrieval application. Statistical and structural patterns have been proposed for image …

The tremendous growth in the number of digital images has provoked the need for
improvement in search and retrieval of images from a large database. The biggest challenge …

In recent years, a rapid increase in the size of digital image databases has been observed.
Everyday gigabytes of images are generated. Consequently, the search for the relevant …

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 …

E-commerce platforms apply recommendation technology to a wide variety of commercial
websites to help users quickly find the product they need from a large number of products. At …

Perceptual hashing provides compact and efficient representations for image retrieval,
authentication and tamper detection applications. However, most of existing perceptual …

Interests to accurately retrieve required images from databases of digital images are
growing day by day. Images are represented by certain features to facilitate accurate …

Feature extraction has a significant impact on the accuracy of Content-Based Image
Retrieval (CBIR) algorithms since the content of images is encoded in feature vectors. In this …

Images are very important documents nowadays. To work with them in some applications
they need to be compressed, more or less depending on the purpose of the application. To …