Image retrieval is one of the hot research topics in computer vision which has been paid
much attention by researchers in the last decade. Image retrieval refers to retrieving more …

Aiming at the problems that the traditional CNN has many parameters and a large proportion
of fully connected parameters, a image classification method is proposed, which based on …

Deep learning has achieved significant advances for tasks such as image classification,
segmentation, and retrieval; this advance has not yet been realized on scientific and …

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 …

Weeds might be defined as destructive plants that grow and compete with agricultural crops
in order to achieve water and nutrients. Uniform spray of herbicides is nowadays a common …

Active contour models (ACMs) have been widely used in image segmentation to segment
objects. However, when it comes to segmenting images with severe intensity …

Illumination variation (IV) is a challenging issue in hyperspectral video target tracking (HVT).
In order to resolve this issue, this paper proposes a novel HVT algorithm based on Pixel …

A rapid growth in medical ultrasound database makes it difficult for medical practitioners to
manage and search relevant data with good efficiency. Hence, a novel image retrieval …

Active contour models (ACMs) are popular and widely used for many image segmentation
applications and obtain promising results. However, these methods are unable to achieve …

Social media platforms such as Twitter, Facebook, and Flicker, and the evolution of digital
image capturing devices have resulted in the generation of a massive number of images …