This paper presents a novel segmentation method for image sequence recorded by a stationary camera.
该文提出了一种固定场景下的图像序列自动分割的新方法。
The purpose of this paper is to develop a segmentation algorithm for digital image sequence based on spatiotemporal continuous wavelet transform(CWT).
从运动分析的角度出发，对所研究的图像序列，提出了一种基于空域—时域连续小波变换（CWT）的模糊分割算法。
Video object segmentation aims to partition an image sequence into moving objects and to track the evolution of the moving objects along the time axis.
视频对象分割，旨在分割出视频序列中的运动对象并沿时间轴跟踪运动对象的演进。
Simulation results show that the proposed method has 96.5% successful segmentation rate for rocket target, and can effectively segment rocket image sequence in real-time.
仿真实验表明，采用该方法对火箭目标正确分割率为96.5%，并能够实时有效地对火箭序列图像进行有效分割。
The heart boundary on the sequence image can be divided by the image segmentation method and is matched with the boundary between two continuous frames to form the boundary displacement amount.
采用图像分割方法分割出序列图像上的心脏边界，匹配连续两帧之间的边界得到边界位移量。
An algorithm for video sequence analysis and image segmentation by using 3d scene model is presented.
提出一种利用三维场景模型对视频图像进行分析并实现图像分割的方法。
An algorithm for video sequence analysis and image segmentation by using 3d scene model is presented.
提出一种利用三维场景模型对视频图像进行分析并实现图像分割的方法。
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