In this paper, a novel method is proposed to detect salient regions in images. To measure pixel-level saliency, joint spatial-color constraint is defined, i.e., spatial constraint (SC), color double-opponent (CD) constraint and similarity distribution (SD) constraint. The SC constraint is designed to produce global contrast with ability to distinguish the difference between ‘‘center and surroun...

A target-oriented visual saliency detection model for optical satellite images is proposed in this paper. This model simulates the structure of the human vision system and provides a feasible way to integrate top-down and bottom-up mechanism in visual saliency detection. Firstly, low-level visual features are extracted to generate a low-level visual saliency map. After that, an attention shift ...

This paper proposes an unsupervised bottom-up saliency detection approach by aggregating complementary background template with refinement. Feature vectors are extracted from each superpixel to cover regional color, contrast and texture information. By using these features, a coarse detection for salient region is realized based on background template achieved by different combinations of bound...

In this study, we address the problem of salient region detection. Recently, salient region detection methods with histogram-based contrast and region-based contrast have given promising results. Center bias is a hypothetical characteristic in human vision system which is applied in many existing salient region detection methods. In this paper, we propose an object-biased Gaussian model to refi...

Complex structures commonly exist in natural images. When an image contains small-scale high-contrast patterns either in the background or foreground, saliency detection could be adversely affected, resulting erroneous and non-uniform saliency assignment. The issue forms a fundamental challenge for prior methods. We tackle it from a scale point of view and propose a multi-layer approach to anal...

Visual saliency computation is about detecting and understanding salient regions and elements in a visual scene. Algorithms for visual saliency computation can give clues to where people will look in images, what objects are visually prominent in a scene, etc. Such algorithms could be useful in a wide range of applications in computer vision and graphics. In this thesis, we study the following ...

Visual saliency detection is useful for applications like image segmentation, image retrieval et al. According to the thought that the near-infrared image can provide complementary information to the corresponding visible image, a new region based multispectral saliency detection method is proposed. The source images are decomposed into homogeneous regions by superpixel algorithm in 6-dimention...

Optic Disc (OD) detection is a key pre processing component in many algorithms designed for automatic extraction of retinal anatomical structures and lesions thus, reliable and efficient OD localization is significant tasks in ophthalmic image processing. We aim to investigate the relevance of computational saliency model in retinal images in the context of OD detection. The optic disc in a ret...

Detection of visually salient image regions has been of great research interest in recent years. It is useful for a wide range of applications such as object detection, video summarization and object segmentation. In this paper, we propose a modified method based on frequency-tuned (FT) model for salient region detection that outputs full resolution saliency maps with well-defined boundaries of...

Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak image-level labels. Intuitively, by simulating the selective attention mechanism of human visual system, saliency detection technique can select...