The adaptive integration of the colour and texture attributes in the development of complex
image descriptors is one of the most investigated topics of research in computer vision. The …

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 …

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

With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …

摘要提出了一种交互式的快速图像分割方法. 该方法通过使用高斯超像素来构建Graph cuts
模型以实现加速. 首先, 利用融合了边缘置信度的快速均值漂移算法, 将原始图像高效地预分割为 …

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 …

This paper presents an interactive image segmentation approach in which we formulate
segmentation as a probabilistic estimation problem based on the prior user intention …

In this paper, a novel automatic image segmentation method is proposed. To extract the
foreground of the image automatically, we combine the region saliency based on entropy …

This paper addresses the problem of interactive multi-label segmentation. We propose a
powerful new framework using several color models and texture descriptors, Random Forest …

The Automatic extraction of coal particles characteristics has great importance in smart mine
construction for security planning and disaster prevention. Traditional approaches, including …