Saliency, which means the area human vision is concentrated, can be used in many applications, such as enemy detection solider goggles and person an auto-driving car. In recent years, saliency obtained instead of eyes using a model automated way HMD (Head Mounted Display), smartphones, VR (Virtual Reality) devices based on mobile displays; however, device needs too much power to maintain displa...

This article proposes a novel framework for the recognition of six universal facial expressions. The framework is based on three set of features extracted from the face image: entropy, brightness and local binary pattern. First, saliency maps are obtained by state-of-the-art saliency detection algorithm i.e. “frequency-tuned salient region detection”. The idea is to use saliency maps to find ap...

Visual object recognition is an open and challenging problem in computer vision. Note that fixing the position of the objects is one of the difficult problems in the object recognition task. Biological visual system tends to find naturally the most informative regions in a scene. In this paper, we present an object recognition approach based on the visual saliency. Firstly, the most salient reg...

In this paper we propose a novel approach to the task of salient object detection. In contrast to previous salient object detectors that are based on a spotlight attention theory, we follow an object-based attention theory and incorporate the notion of an object directly into our saliency measurements. Particularly, we consider proto-objects as units of the analysis, where a protoobject is a co...

This paper describes a system to extract salient regions from an outdoor image and match them against a database of previously acquired landmarks. Region saliency is based mainly on color contrast, although intensity and texture orientation are also taken into account. Remarkably, color constancy is embedded in the saliency detection process through a novel colorratio algorithm that makes the s...

Detection of salient object regions is useful for many vision tasks. Recently, a variety of saliency detection models have been proposed. They often behave differently over an individual image, and these saliency detection results often complement each other. To make full use of the advantages of the existing saliency detection methods, in this paper, we propose a salience learning model which ...

This paper describes an efficient approach for the detection of level-line junctions in images. Potential junctions are exhibited independent from noise by their consistent local level-variation. Then, level-lines are tracked through junctions in descending the level-line flow. Flow junctions are extracted as image primitives to support matching in many applications. The primitive is robust aga...

Medical image processing has become a major player in the world of automatic tumour region detection and is tantamount to the incipient stages of computer aided design. Saliency detection is a crucial application of medical image processing, and serves in its potential aid to medical practitioners by making the affected area stand out in the foreground from the rest of the background image. The...