Hyperspectral images (HSIs) have a cube form containing spatial information in two
dimensions and rich spectral information in the third one. The high volume of spectral bands …

In this paper, we propose a new hybrid Local Binary Pattern (LBP) based on Hessian matrix
and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP. d The Hessian …

To solve the problems of poor real-time collision accuracy and low efficiency of modeling in
the virtual reality environment, we propounded a depth image-based 3D modeling system …

An important aspect of querying whether a product is likely to be forged is to identify its anti-
counterfeiting label. However, the use of image processing technology for label-specific …

In this study, sound energy and characteristics of sound were investigated. Then, emotion
recognition models built upon sound data in the literature were reviewed. Speech emotion …

With the substantial expansion of image information, image processing and computer vision
have significant roles in several applications, including image classification, image …

Existing smoke vehicle detection methods are vulnerable to false alarms. To solve this issue,
this paper presents two automatic smoke vehicle detection methods based on …

To improve recognition accuracy, the authors fuse texture, edge and line information to
propose a feature extraction method for smoke recognition. The Canny operator is proposed …

Smoke vehicle detection is still vulnerable to false alarms. To reduce false alarm rates, this
paper presents a smoke vehicle detection method based on Robust Codebook (R …

To overcome shortages of conventional hand-crafted features, we propose a learning based
feature extraction method for visual smoke recognition. We first slide a 3D sampling window …