earticle

영어

Traditional image processing and pattern recognition research aimed at identifying the target image. As time goes by, on the basis of the recognition of the image, more and more research points to identify multiple targets in the image, and the corresponding block of the corresponding target is calibrated. Compared with the traditional image recognition, the problem of image annotation is a combination of multi classification and multi regression, which is more difficult and challenging. On the basis of deep convolutional neural network, this paper studies the image annotation algorithm based on region selection algorithm and support vector machine, and the algorithm is tested on the PASCAL VOC 2010 image data set. Experimental results show that compared with the current algorithm, this algorithm can be used to mark the image of multiple targets, the effect is obvious, and there is a great practical significance.