Image Sequences Segmentation Algorithm Based on Wavelet Transformation with Timeline

摘要

Presently, image sequences segmentation algorithm can be mainly separated into two parts. One is based on brightness, chroma and margin pixel information, the other is based on frame disparity information, just like Frame Disparity Threshold, Change Detection Mask (CDM), High Order Statistic (HOS) and so on. The first method is seldom used recently, while the latter one is deficient in noise-sensitive. So, we take a special point of view in this paper, and presented a new segmentation algorithm based on wavelet with timeline method. Here timeline is offered to control time sequences. Firstly, we transform the image sequences by wavelet on the timeline. After the transformation, we should hold the high-frequency coefficient on the part of motion, and then we obtain motion object's mask by morphological process. By such a series of operations, we can get the final motion object. Finally we devise some experiments to measure the method's processing efficiency and real-time properties. The results show that the method is simple and practical.