Machine learning methods have achieved good performance and been widely applied in
various real-world applications. They can learn the model adaptively and be better fit for …

Visual attention is a kind of fundamental cognitive capability that allows human beings to
focus on the region of interests (ROIs) under complex natural environments. What kind of …

Abstract Salient Object Detection (SOD), which aims to find the most important region of
interest and segment the relevant objects/items in that region, is an important yet …

Clustering inspired superpixel algorithms perform a restricted partitioning of an image,
where each visually coherent region containing perceptually similar pixels serves as a …

Featured Application The proposed DLRSD-based segmentation method can be applied for
other industrial products, such as glass, fabric, LCD and AMOLED. Abstract Surface defect …

We propose a local tree-structured low-rank representation (TS-LRR) model to detect salient
objects under the complicated background with diverse local regions, which is problematic …

This paper presents a fast license plate localization algorithm base on expanded wavelet
transform. The system consists of three major stages. First, a wavelet transform based …

Linear dynamical system (LDS) offers a convenient way to reveal the unobservable structure
behind the data. This makes it useful for data representation and explanatory analysis. An …

Salient object detection is not only important but also challenging tasks in the study of
computer vision. In this paper, different from existing approaches, we propose a novel …

The detection of surface defects on strip steel poses significant challenges due to factors
such as background noise and interference. Moreover, the lack of labeled defect data in …