Medical image segmentation plays a vital role in computer-aided diagnosis procedures.
Recently, U-Net is widely used in medical image segmentation. Many variants of U-Net have …

The 3D video extension of High Efficiency Video Coding (3D-HEVC) is the state-of-the-art
video coding standard for the compression of the multiview video plus depth format. In the …

The problem of segmentation in spite of all the work over the last decades, is still an
important research field and also a critical preprocessing step for image processing, mostly …

Restorative applications have turned to the healthcare industry various therapeutic
applications require legitimate segmentation of medical images for an exact determination …

A new online region-based active contour model (ORACM) is proposed in this paper. The
classical geodesic active contour (GAC) model has only local segmentation property …

The most fatal and frequent cancer amongst women is breast cancer. Mammography
provides timely detection of lumps and masses in breast tissue, but effective diagnosis …

One of the well-established research domains among computer vision scientists is object
tracking. However, not much work has been done in underwater scenarios. This article …

There is a need for efficient methods to retrieve and obtain the visual data that a client need.
New methods for content-based image retrieval (CBIR) have emerged due to recent …

This paper develops a method for semi-automatic detection of breast lesion boundaries by
combining the snake evolution techniques with statistical texture information of images. We …

Image signals can be blurred due to defocus or motion. Blur may be undesirable for image
sensing, but may also contain useful information. Therefore, detecting the blurriness of each …