An image classification device and classification method based on a multi-classification model

Abstract

The invention discloses an image classification device and a classification method based on a multi-classification model. The device includes: an image preprocessing module, which is used to obtain a nuclear magnetic resonance T1 weighted image of a sample to be analyzed, and perform preprocessing; a feature extraction module, which is used to Feature extraction is performed on the preprocessed image to extract imaging features; the feature fusion module is used to fuse the extracted imaging features to form a feature space; The characteristics of the ability, and build a multi-classification model; the detection analysis module is used to use the multi-classification model to analyze the image test data of the sample to be analyzed, and output the classification result. The present invention extracts features of brain images by using different segmentation region templates, fuses these different features together, builds a multi-classification model, and divides images into different target categories, which is conducive to accurate classification of images, and achieves more 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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