Bacteria are important in a variety of practical domains, including industry, agriculture,
medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of …

Today, large amount of data are stored in image format. Content based image retrieval from
bulk databases has become an interesting research topic in last decade. Most of the recent …

In this paper, a three stage hierarchical image retrieval scheme using a color, texture and
shape visual contents (or descriptors) is proposed, since single visual content is not produce …

Coal fire disasters generally occur in major coal-producing countries. They destroyed many
coal resources and triggered various environmental problems. The identification and state …

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 …

This paper proposed an efficient image retrieval framework by feature-fusion of high-level
features from the improved version of DarkNet-53, named GroupNormalized-Inception …

Abstract Development of computer-aided cancer diagnostic tools is an active research area
owing to the advancements in deep-learning domain. Such technological solutions provide …

Numerous devices for image capture have emerged in the digital environment of the present
day. Using image processing techniques, it is now easier than ever to store a large number …

To achieve more accurate recognition and segmentation of obscured fruit in natural orchard
environments, DLNet model is proposed. The model is improved for the more challenging …

In order to solve the problem of low recognition rates of weeds by a single feature, a method
was proposed in this study to identify weeds in Asparagus (Asparagus officinalis L.) field …