Image classification device and classification method based on multi-classification model

Abstract

The invention discloses an image classification device and a classification method based on a multi-classification model. The device comprises an image pre-processing module, a feature extraction module, a feature fusion module, a feature screening module and a detection analyzing module, wherein the image pre-processing module is used for acquiring a nuclear magnetic resonance T1-weighted image of a sample to be analyzed and performing pre-processing; the feature extraction module is used for carrying out feature extraction on the pre-processed image and extracting imaging features; the feature fusion module is used for fusing the extracted imaging features and forming a feature space; the feature screening module is used for screening the features having a discrimination capability fromthe feature space and constructing a multi-classification model; the detection analyzing module is used for using the multi-classification model to analyze the image test data of a to-be-analyzed sample and outputting the classification result. According to the image classification device and the classification method based on a multi-classification model in the invention, different split area templates are adopted to carry out feature extraction on the brain image; the different features are fused together to construct a multi-classification model; the image is divided into different target categories, thereby facilitating accurate classification of the image and achieving efficient and fast image processing.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image classification device and classification method based on a multi-classification model. Background technique [0002] With the continuous development of science and technology, the development of image processing technology is becoming more and more rapid, and the application fields are becoming more and more extensive. Especially in the medical field, image processing technology is also applied in many aspects, such as helping medical staff to obtain clearer medical images, improving the work efficiency of medical staff, and so on. [0003] However, in the prior art, the processing of medical images is difficult to achieve an ideal effect, and in many cases, the phenomenon of over-fitting tends to occur during the processing of medical images, which affects the results of image processing. Although in the prior art, in order to solve the problem of over-fitting, ...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an image classification device and classification method based on a multi-classification model in view of the above-mentioned defects of the prior art, aiming at solving the problem that the prior art cannot establish efficient features in image classification processing. Select the model, so that the image cannot be accurately classified, etc.

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