Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

Image segmentation plays a crucial role in effective understanding of digital images. Past
few decades saw hundreds of research contributions in this field. However, the research on …

In this paper, we develop an approach to exploiting kernel methods with manifold-valued
data. In many computer vision problems, the data can be naturally represented as points on …

摘要鉴于图割的理论意义和实际应用价值, 系统综述了基于图割的图像分割方法. 首先,
深入分析了基于图割的图像分割方法的基本原理, 主要从定性和定量角度剖析了图割与能量函数 …

Interactive segmentation is useful for selecting objects of interest in images and continues to
be a topic of much study. Methods that grow regions from foreground/background seeds …

Covariance matrices have found success in several computer vision applications, including
activity recognition, visual surveillance, and diffusion tensor imaging. This is because they …

The problem of segmenting a foreground object out from its complex background is of great
interest in image processing and computer vision. Many interactive segmentation algorithms …

In this paper, we propose an interactive color natural image segmentation method. The
method integrates color feature with multiscale nonlinear structure tensor texture (MSNST) …

BACKGROUND Touch gesture technology provides hardware and software that allows
computer users to control various software appli cations via the manipulation of one or more …

In this article, we review recent mathematical models and computational methods for the
processing of diffusion Magnetic Resonance Images, including state-of-the-art …