The exponential growth of digital data in cloud storage systems is a critical issue presently
as a large amount of duplicate data in the storage systems exerts an extra load on it …

A new image retrieval technique using local neighborhood difference pattern (LNDP) has
been proposed for local features. The conventional local binary pattern (LBP) transforms …

Introduction Semantic segmentation is a crucial visual representation learning task for
autonomous driving systems, as it enables the perception of surrounding objects and road …

Replicate and near-replicate images are variants derived from original images that are
common among the large number of images on the cloud, desktop and mobile storage …

Cultural Algorithm (CA) are a class of computational models derived from observing the
cultural evolution process in nature and is used to solve complex calculations of the new …

This paper discussed an efficient technique to detect near-duplicate images with higher
accuracy. The proposed method improved the existing accuracy of near-duplicate image …

With advancements in technologies of the Internet and multi-media, various images need to
be generated and transmitted anytime. Restricted by local constrained storage space, users …

With the continuous development of China's economy and the improvement of residents'
living standards, it also brings increasing costs of labor and rent. In addition, the impact of …

Automated segmentation of retinal blood vessels is necessary for the diagnosis, monitoring,
and treatment planning of the disease. Although current U-shaped structure models have …

Near duplicate (ND) image detection is a significant issue in a modern online environment
with a wide range of applications like the detection of copyright violations and saving of …