Most of the local descriptors exists today are based on the relationship between the
neighborhood pixels and the center pixel by considering the 3× 3 spatial window. Moving …

Local binary pattern (LBP) is widely adopted for efficient image feature description and
simplicity. To describe the color images, it is required to combine the LBPs from each …

Micro-expressions are brief involuntary facial expressions that reveal genuine emotions and,
thus, help detect lies. Because of their many promising applications, they have attracted the …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

The super packed functionalities and artificial intelligence (AI)-powered applications have
made the Android operating system a big player in the market. Android smartphones have …

We propose a novel local color texture descriptor called local binary pattern for color images
(LBPC). The proposed descriptor uses a plane to threshold color pixels in the neighborhood …

Several techniques have recently been proposed to extract the features of an image.
Feature extraction is one of the most important steps in various image processing and …

Malware classification is a critical part in the cyber-security. Traditional methodologies for
the malware classification typically use static analysis and dynamic analysis to identify …

Weed invasions pose a threat to agricultural productivity. Weed recognition and detection
play an important role in controlling weeds. The challenging problem of weed detection is …

Color texture classification has recently attracted significant attention due to its multiple
applications. The color texture images depend on the texture surface and its albedo, the …