Abstract Image Salient Object Detection (SOD) is a fundamental research topic in the area of
computer vision. Recently, the multimodal information in RGB, Depth (D), and Thermal (T) …

In this article we propose a novel approach to compute an image saliency map based on
computing local saliencies over random rectangular regions of interest. Unlike many of the …

Neuromorphic engineering is essentially the development of artificial systems, such as
electronic analog circuits that employ information representations found in biological …

The visual system uses two complimentary strategies to process multiple objects
simultaneously within a scene and update their spatial positions in real time. It either uses …

Previous research has suggested that correctly placed objects facilitate eye guidance, but
also that objects violating spatial associations within scenes may be prioritized for selection …

We present an oscillatory neural network model that can account for reaction times in visual
search experiments. The model consists of a central oscillator that represents the central …

In this paper, a novel model is proposed to segment image instance based on fractional-
order chaotic synchronization network and reinforcement learning method. In the proposed …

Visual information processing is one of the fields of cognitive informatics. In this paper, a two-
layer fractional-order chaotic network, which can simulate the mechanism of visual selection …

A system of phase oscillators with a Central Oscillator (CO) and a set of n Peripheral
Oscillators (POs) is considered. Feed-forward and feedback connections between the CO …

Multispectral images are the types of images which consist of many different bands of data
for further processing. Vegetation Indexing has Different bands which are combined in the …