Segmentation of ultrasound (US) images of breast cancer is one of the most challenging
problems of the modern medical image processing. A number of popular codes for US …

This paper presents a novel image segmentation method based on multiple active contours
driven by particle swarm optimization (MACPSO). The proposed method uses particle …

Manual assessment of estrogen receptors′(ER) status from breast tissue microscopy
images is a subjective, time consuming and error prone process. Automatic image analysis …

Background Subtraction methods are widely used for detecting and tracking moving objects
in videos. It is useful in many applications such as traffic monitoring, video surveillances. The …

为了更高效地实现多核片上系统(MPSoC) 温敏布图设计和实时功耗温度管理,
采用自下而上的建模方法, 提出MPSoC 结构级热分析方法. 首先采用HotSpot …

Among the most promising techniques for extraction of complex objects from digital images
are active contours or snakes, originally introduced by Kass et al. Since the seminal work of …

针对当前点云Snake 模型研究中存在的问题, 提出点云的气球力Snake 模型. 该模型将二维图像
Snake 中的气球力推广到三维点云中, 用于设计点云Snake 模型的外部能; …

INTRODUÇÃO: Grande parte da população mundial é afetada por doenças pulmonares,
como é o caso das broncopatias constituídas pela asma, bronquiectasia e a bronquite. O …

Object detection in video sequence processes is the basic and starting steps for more
complex processes, such as video context analysis and multimedia indexing A simple …

This paper proposes a multilevel unsupervised image segmentation approach aimed at
salient object extraction. The fundamental objective is the extrication of pronounced object …