This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their
applications in image processing. The PCNN is a neurology-inspired neural network model …

With increasing attentions being drawn to the underwater observation and utilization of
marine resources in recent years, underwater image processing and analysis have become …

Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

Cancer is one of the most critical disease. In particular, Leukemia is the most common type
of cancer which produces an excessive quantity of leucocytes, replacing normal blood cells …

Underwater image processing has played an important role in various fields such as
submarine terrain scanning, submarine communication cable laying, underwater vehicles …

Improving the efficiency of current neural networks and modeling them on biological neural
systems have become prominent research directions in recent years. The pulse-coupled …

Robot machine capture protein seafood like sea cucumber and seashell is expected to play
a great role in food economy improvement and divers protection. In order to realize robot …

The domain of Robotics is a good partner of renewable energy and is becoming critical to
the sustainability and survival of the energy industry. The multi-disciplinary nature of robots …

Suppressing noise and preserving detail information such as edges and textures are two
key challenges in image denoising. In this paper, a new method for eliminating noise from …

The underwater imaging environment is very different from land, and some common land
image enhancement methods are often not applicable to the underwater environment. This …