Image segmentation method and device, image segmentation model training method and device and storage medium
An image segmentation and image technology, applied in the field of artificial intelligence, can solve the problems of time-consuming training and affecting the efficiency of image segmentation, and achieve the effects of improving image segmentation efficiency, reducing training time-consuming, and improving training efficiency
Active Publication Date: 2020-07-17
TENCENT TECH (SHENZHEN) CO LTD
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However, in the traditional image segmentation scheme, a large number of image samples and a large number of annotations are required, resulting in time-consuming training and affecting the efficiency of image segmentation
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[0072] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0073] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is t...
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The invention relates to the technical field of artificial intelligence, in particular to an image segmentation method and device, an image segmentation model training method and device and a storagemedium. The image segmentation method comprises the steps of obtaining a to-be-segmented image; extracting voxel features from the image to be segmented; determining a first similarity between the voxel features and voxel reference values corresponding to different categories, wherein the voxel reference value is a model parameter obtained by performing model training by using a to-be-segmented image sample; and when a first similarity between a target voxel feature in the voxel features and a voxel reference value corresponding to the corresponding category satisfies a segmentation condition,segmenting a block corresponding to the target voxel feature in the to-be-segmented image. The method can improve the image segmentation efficiency.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an image segmentation method, an image segmentation model training method, a device and a storage medium. Background technique [0002] With the development of image segmentation technology, image segmentation technology is widely used in various fields, such as machine vision, face recognition and medical image segmentation and other fields. In traditional image segmentation schemes, such as semantic segmentation schemes based on 3D convolutional neural networks, professionals usually need to accurately label a large number of image samples. Training, and then image segmentation through the trained 3D convolutional neural network. However, in the traditional image segmentation scheme, a large number of image samples and a large number of annotations are required, which leads to time-consuming training and affects the efficiency of image segmentation. ...
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IPC IPC(8): G06T7/10
CPCG06T7/10G06T2207/10088G06T2207/20081G06T2207/30016
Inventor 崔恒基魏东顾实马锴郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD