Hough Transform Key Issues Studies And Its Applications, Track Initiation Method

Through the noncoherent integration of great numbers of data, and by using Hough transform the features of signals in low SNR (signal-to-noise-ratio) can be extracted. Therefore, the Hough transform may play an important role in the automatic track initiation and the processing of images with low SNR environment. Supported by the key research project related to target tracking in low SNR and electronic warfare's environment, a part of the tenth Five-year plan our research focuses on the problems of the parameter quantization and parameter extraction. The main works are as follows.1. Three key problems of Hough transform in track initialization field are presented: parameter quantization , accumulate method and parameter extraction .2. Firstly, the vote distribution of parameter accumulate cells is proposed. Hence several important aspects of the dependent variable are proposed and which gives a reference for how to quantize the parameters.3. Secondly, a method of weight integration of 'votes' is proposed. Simulation results show that the method can significantly improve the separability between the local peak cell and its neighbors compared with the standard binary integration method.4. Finally, a peak extraction method is proposed for further improving the separability between the local peak cell and its neighbors in multiple target tracking. The simulation of multiple track initiation shows its feasibility and effectiveness.