The invention provides an image automatic
annotation method and device based on a
decision tree. The device comprises an input unit, a pre-
processing unit, a segmentation and extraction unit, an
annotation probability calculation unit, a
spanning tree unit, an inter-word correlation calculation unit and a keyword selection unit. Compared with the prior art, the method of the present invention hasthe advantages that some obtained blurred images are repaired, thus the image semantic automatic
annotation technology is applied to a wider scope, the underlying features of the images are more comprehensively extracted, global features and local features are used to reflect the true visual content of the images, the accuracy of image
semantics automatic annotation is improved, scale-invariant features of
principal component analysis are adopted by the global features, the computational efficiency is improved, especially for high-dimensional images, the unmeasurable nature of massive image sets is solved, an image annotation problem is converted into a classification problem to carry out annotation, and the annotation performance of a traditional model is improved.