Application of an Improved Hybrid Strategy Combining RTS with EBP in the Image Segmentation of Test Strip

Abstract

In this paper, a type of improved hybrid strategy is used to carry out the image segmentation of gold immuno chromato graphic test strip, which combines the reactive tabu search (RTS) algorithm and error back propagation (EBP) neural network. This hybrid strategy can solve the problems which exist in image segmentation of test strip: the area of test strip is pretty small; the breadth of test line testing zone, control line testing zone will not be fixed due to the reaction process between specimen and test strip. The results of experiment show that this hybrid strategy can improve the convergence precision and training speed of the EBP neural network. Furthermore, comparing with EBP neural network, the convergence precision and convergence speed of RTS algorithm are much better. At the end of this paper, this hybrid strategy is applied in the image segmentation of test strip and gets satisfactory effect.