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 …

Intensity inhomogeneity brings great difficulties to image segmentation. This problem is
partly solved by the multiplicative bias field correction model. However, some other …

Image Processing nowadays has been commonly used in different medical fields and
includes many types of techniques such as storage, communication, presentation …

In oral surgery, accurate segmentation of the teeth has critical significance for the
orthodontic treatment and research. However, in the cone beam computed tomography …

Intensity inhomogeneity and noise are two common issues in images but inevitably lead to
significant challenges for image segmentation and is particularly pronounced when the two …

Intensity inhomogeneity and high noise are two common but challenging issues in image
segmentation and is particularly pronounced when the two issues simultaneously appear in …

Infrared (IR) image segmentation technology plays a pivotal role in many urgent fields, such
as traffic surveillance, nondestructive detection and autonomous driving. In recent years …

Supervised active contour models can use information extracted from supervised samples to
guide contour evolution. However, their applicability is limited by the accuracy of the …

Image segmentation is an important field of computer vision and has attracted significant
research attention in the recent years. In this paper, we provide a survey of regional level set …

Retinal vascular disease has always been the focus of medical attention. However,
segmentation of the retinal vessels from fundus images is still an open problem due to …