Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …

Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …

Interest point detection methods are gaining more attention and are widely applied in
computer vision tasks such as image retrieval and 3D reconstruction. However, there still …

Defect in honeycomb has been paid close attention in recent years, as it significantly threats
on its performance. In this study, detailed behavior and influence were extensively …

Corners are important features for image analysis and computer vision tasks. Local structure
tensors with multiple scales are widely used in intensity-based corner detectors. In this …

This paper presents a novel noise robust edge detector based upon the automatic
anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the …

Interest points (corners and blobs) play an important role in computer vision tasks such as
image matching, image retrieval, and 3D reconstruction. Existing deep learning based …

Image corner detection is very important in the fields of image analysis and computer vision.
Curvature calculation techniques are used in many contour-based corner detectors. We …

Corner detection is a critical component of many image analysis and image understanding
tasks, such as object recognition and image matching. Our research indicates that existing …

Multi-scale analysis based corner detection algorithms yield impressive performance,
however, they are not efficient and not suitable for real-time computer vision tasks. The …