An improved Image Segmentation Algorithm Based on Boltzmann Theory and its parallel computing realization

This paper deals with the improvement of free energy computing in segmentation algorithm according to the analysis of Image Segmentation Algorithm Based on Boltzmann Theory (ISABT) and a new one is proposed. It is proved by comparative experiments that performance indexes of the new algorithm are considerably improved. The parallel processing method of the algorithm which is applied to multi-processors is presented for solving the real-time problem, and then its feasibility is verified by experiments. The experiment shows that the improved ISABT with rapid parallel image processing greatly enhances the speed of segmentation with its segmentation effect assured. Compared with the original algorithm, the new one may reach a speed of 20ms/F for 480×320 image on the processing platform including eight pieces of TMS320DM642, and it basically meets the real-time requirement for robot visual processing.