Image classification method based on local image block descriptor and Fischer vector

Abstract

The invention discloses an image classification method based on a local image block descriptor and a Fischer vector. The image classification method comprises the steps that a feature descriptor based on a local image block is constructed; modeling of the feature descriptor of a training data set is performed by using a Gaussian mixture model; a training image set and the Fischer vector for testing the image set are generated; a Gaussian space pyramid is constructed and image multi-scale space information is acquired; the training data set and a feature set for testing the data set are calculated; feature selection is performed on the feature set of the data set by using a mutual information method; and a classifier is trained so as to realize image classification. The image information can be accurately acquired so that the accuracy of image classification can be enhanced and the image classification method can be used for large-scale image classification and construction of the retrieval system.

Description

technical field [0001] The invention belongs to the technical fields of machine learning and computer vision, and relates to an image classification method. Background technique [0002] With the development of multimedia technology, image classification has become the focus of research in the field of computer vision. Image classification is to divide images into different preset categories according to certain attributes of images. How to effectively express images is the key to improving the The key to the accuracy of image classification, the selection and extraction of features are currently difficult problems in image classification. With the rapid development of the mobile Internet, human society has entered the era of big data. Although traditional feature learning methods such as SIFT and HOG can extract some features of images, they have also achieved good results in image classification, but this artificially designed feature method has certain defects. In recen...

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Problems solved by technology

[0004] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide an image classification method based on local image block descriptors and Fisher vectors, which overcomes the defects of existing image classification methods, reduces computing costs, and improves classification accuracy

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