The predictions of 13 computational bottom-up saliency models and a newly introduced
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …

In military operations signature reduction techniques such as camouflage nets, low-emissive
paints, and camouflage patterns are typically deployed to optimize the survivability of high …

We present a new method to derive a multiscale urban camouflage pattern from a given set
of background image samples. We applied this method to design a camouflage pattern for a …

Few animals can hide their signatures into their surroundings to hunt or avoid being hunted,
termed as natural camouflage. Natural camouflage inspires researchers to design various …

In this paper, a new method for saliency detection is proposed. Based on the defined
features of the salient object, we solve the problem of saliency detection from three aspects …

Attention and memory are very closely related and their aim is to simplify the acquired data
into an intelligent structured data set. Two main points are discussed in this paper. The first …

Telemedicine is growing and there is an increased demand for faster image processing and
transmitting diagnostic medical images. Identifying and extracting the region of interest (ROI) …

To extract circular array targets from high-spatial resolution optical satellite images, we
propose an efficient two-step detection framework. In the first stage, we propose a multiscale …

Abstract Detecting multiple salient objects in complex scenes is a challenging task. In this
paper, we present a novel method to detect salient objects in images. The proposed method …

In many medical image segmentation applications identifying and extracting the region of
interest (ROI) accurately is an important step. The usual approach to extract ROI is to apply …