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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 21  |  Page No.: 6181 - 6183

Application of Improved BP Algorithm Based on Numerical Optimization to Image Segmentation of Cucumbers

Erchao Li, Zhanming Li and Wei Li    

Abstract: For the cucumber harvesting robot, the recognition is the important steps. First of all, segmentation of cucumber image is required. Aiming at the problems that BP algorithm has slow convergence rate and is likely to fall into local minimum point, Chaotic mechanism is introduced to LMBP algorithm and the problem of local limit value for network is solved using global moving characteristic of chaotic mechanism is weight optimization, it can make convergence rate of network faster. The research result of applying the improved BP algorithm to the segmentation of cucumber image shows that the new method had good effect on separating the cucumber from its background.

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