Superpixel segmentation consists of partitioning images into regions composed of similar
and connected pixels. Its methods have been widely used in many computer vision …

Watershed is a widely used image segmentation algorithm. Most researchers understand
just an idea of this method: a grayscale image is considered as topographic relief, which is …

We propose a highly efficient, yet powerful, salient object detection method based on the
Minimum Barrier Distance (MBD) Transform. The MBD transform is robust to pixel-value …

A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized
by a set of binary images, which are generated by randomly thresholding the image's color …

Deep convolutional neural networks have been dominating in the field of hyperspectral
image (HSI) classification. However, single convolutional kernel can limit the receptive field …

Identifying human actions and interactions finds its use in many areas, such as security,
surveillance, assisted living, patient monitoring, rehabilitation, sports, and e-learning. This …

Feature selection aims to find the most important information from a given set of features. As
this task can be seen as an optimization problem, the combinatorial growth of the possible …

In this paper, we present Lazy Snap**, an interactive image cutout tool. Lazy Snap**
separates coarse and fine scale processing, making object specification and detailed …

Efficient segmentation of globally optimal surfaces representing object boundaries in
volumetric data sets is important and challenging in many medical image analysis …

Peptidoglycan is the main component of the bacterial wall and protects cells from the
mechanical stress that results from high intracellular turgor. Peptidoglycan biosynthesis is …