A BPEJTC-BASED SEGMENTATION FOR A NONSTATIONARY IMAGE

This paper presents a correlator-based segmentation algorithm applied to a non-stationary image, We show that in this algorithm, a moving ta rget's signature residing in the image sequence can be extracted via m onitoring the levels of correlation peaks between two adjacent images, We also present an electro-optical system to implement the algorithm, It is shown that the performance of this method depends to a great ex tent on the correlation results and thus the proposed system uses a no n-linear JTC called BPEJTC that has a much higher peak-to-sidelobe rat io than a conventional JTC. Moreover, we show that this system effecti vely distributes the required computations over an optical unit and a digital unit to reduce the processing time, and the inclusion of optic al processing enables the system to work well even for massive input d ata size, Experimental results obtained with a real image sequence are demonstrated.