With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …

This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …

Leaf area index (LAI) estimation is very important, and not only for canopy structure analysis
and yield prediction. The unmanned aerial vehicle (UAV) serves as a promising solution for …

Abstract Background and Objective: Color variations in digital histopathology severely
impact the performance of computer-aided diagnosis systems. They are due to differences in …

The similar analysis of time sequence images to achieve image matching is a foundation of
tasks in dynamic environments, such as multi-object tracking and dynamic gesture …

Face spoofing detection, also known as liveness detection, is a challenging and one of the
most active research areas in computer vision. In this paper, a novel texture descriptor …

Texture feature of the froth image is widely used in the working condition recognition of froth
flotation. However, due to the complexity of the froth image, the current texture features vary …

We propose and investigate the use of visibility graphs to model the feature map of a neural
network. Initially devised for studies on complex networks, we employ this type of model for …

The local feature-based method is the most popular choice for froth velocity measurement.
However, due to similar patterns or objects in the froth image pair, current local feature …

Burns are a common and severe problem in public health. Early and timely classification of
burn depth is effective for patients to receive targeted treatment, which can save their lives …