Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Point features, as the basis of lines, surfaces, and bodies, are commonly used in medical
image registration. To obtain an elegant spatial transformation of extracted feature points …

Defect detection using machine vision technology plays an important role in the
manufacturing process of mobile phone screen glass (MPSG). This study proposes an …

Retinal image registration, which can be formulated by matching two sets of sparse features
extracted from two observed retinal images, is a crucial step in the diagnosis and treatment …

Image stitching, or known as image mosaic, is the process that combines images with
overlapped areas to form an image with wide view and high resolution. Image stitching …

Medical image fusion techniques have been extensively used in clinical diagnosis. Scaling
based techniques are well known techniques in multimodal image fusion, the generalized …

Matching local features on two or more images is fundamental for many applications in the
field of computer vision and pattern recognition. Identifying and rejecting mismatches is an …

We introduce a novel CNN-based feature point detector-Greedily Learned Accurate Match
Points (GLAMpoints)-learned in a semi-supervised manner. Our detector extracts …

Multi-modal retinal image registration plays an important role in the ophthalmological
diagnosis process. The conventional methods lack robustness in aligning multi-modal …