While significant attention has been recently focused on designing supervised deep
semantic segmentation algorithms for vision tasks, there are many domains in which …

This paper investigates two fundamental problems in computer vision: contour detection and
image segmentation. We present state-of-the-art algorithms for both of these tasks. Our …

In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

This paper presents a novel fast model for active contours to detect objects in an image,
based on techniques of curve evolution. The proposed model can detect objects whose …

In this paper, we present feature/detail preserving models for color image smoothing and
segmentation using the Hamiltonian quaternion framework. First, we introduce a novel …

In this paper, a novel region-based fuzzy active contour model with kernel metric is
proposed for a robust and stable image segmentation. This model can detect the boundaries …

Pressure ulcers are a challenge for patients and healthcare professionals. In the UK,
700,000 people are affected by pressure ulcers each year. Treating them costs the National …

This paper proposes a new and reliable segmentation approach based on a fusion
framework for combining multiple region-based segmentation maps (with any number of …

Microscopic thin section images are a major source of information on physical properties,
crystallization processes, and the evolution of rocks. Extracting the boundaries of grains is of …

The Voronoi diagram-based dual-front scheme is known as a powerful and efficient
technique for addressing the image segmentation and domain partitioning problems. In the …