In order to improve the quality of the bionic robot vision tracking, the new automatic tracking algorithm system is proposed in this paper. Based on the completed system hardware design and implementing scheme, the scene noise is removed by adaptive wiener filtering. Through the improved sequential particle filter algorithm, the dynamic target tracking is realized. The experiment result shows that the improved algorithm system still can lock the dynamic target accurately under the condition of that the outer contour of target changing and the partial occlusion existing.
To obtain better region extraction results of medical image, a new segmentation algorithm
is proposed based on improved Adaboost algorithm. The seed pixel is selected with background
subtraction. The neighborhood point is judged. The primary selected seed is calibrated with label, and
then the range of seed is reduced through growing label and the maximal saliency. The optimized
Adaboost algorithm is taken as growing criterion to optimally combine the scrappy region when the
region growing is over. The experiment result shows that the accuracy and robustness of the
algorithm both meet the actual application required.
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