In this paper, we describe a novel approach for image sequence segmentation. It contains three parts: global motion compensation, robust frame differencing, and curve evolution. It is computationally efficient, does not require dense-field motion estimation, and is insensitive to noise and global/background motion. It works for black-and-white and color image sequences. The efficacy of this approach is demonstrated on both TV and surveillance image sequences.
Abstract-In order to achieve multiple video images fusion processing, domestic and foreign technology commonly used DSP to achieve image fusion algorithm, limited to serial instruction execution speed, it was difficult to meet the requirements of modern high-speed digital signal processing. An digital image fusion technology based on digital video decoder chip ADV7180 and FPGA hardware platform is presented, with high-speed analog input video signal is sampled by ADV7180, and the utilization of FPGA high-speed parallel signal processing capabilities, the image fusion technology can be implemented. The test results show that this method is simple and flexible, able to complete real-time image collection and image fusion.
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