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Image segmentation method, device, computer equipment and storage medium

An image segmentation and image technology, applied in image analysis, computer components, calculation, etc., can solve the problems of low image segmentation efficiency, high labor cost, time-consuming, etc., and achieve the effect of improving segmentation processing efficiency and segmentation accuracy

Active Publication Date: 2021-02-02
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

For image data with many target objects, the human cost of manual labeling is large and time-consuming, resulting in low efficiency of image segmentation

Method used

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  • Image segmentation method, device, computer equipment and storage medium
  • Image segmentation method, device, computer equipment and storage medium
  • Image segmentation method, device, computer equipment and storage medium

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Embodiment Construction

[0055] 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.

[0056] The image segmentation method provided in this application can be applied to computer equipment. A computer device can be a terminal or a server. It can be understood that the image segmentation method provided in the present application can be applied to a terminal, can also be applied to a server, and can also be applied to a system including a terminal and a server, and can be implemented through interaction between the terminal and the server.

[0057] The image segmentation method provided by this application can be applied to such as figure 1 shown in the ap...

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Abstract

The present application relates to an image segmentation method, device, computer equipment and storage medium based on artificial intelligence. The method includes: acquiring two-dimensional slice images under different slices in the three-dimensional image; performing semantic segmentation on the target object in each slice image; performing instance segmentation on the target object in each slice image; Semantic segmentation results and instance segmentation results corresponding to the target object in the same section image, to obtain initial segmentation results corresponding to the target object in each of the section images; for the initial segmentation results corresponding to each of the section images Fusion processing is performed to obtain a segmentation result of the target object in the three-dimensional image. The method can effectively improve the segmentation efficiency and segmentation accuracy of the target object in the three-dimensional image data.

Description

technical field [0001] The present application relates to the fields of artificial intelligence technology and image processing technology, in particular to an image segmentation method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of computer technology, image processing technology based on artificial intelligence is becoming more and more mature. Image segmentation is a crucial preprocessing for image recognition and computer vision. It is widely used in various fields, such as image classification, object detection, and object tracking in various scene images. [0003] In the traditional way, two-dimensional images are usually segmented based on morphological matching, template matching and other methods. For 3D image data, it is necessary to manually segment and mark the outline of the target object in the 3D image data. For image data with many target objects, the human cost of manual labeling is large an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06K9/62
CPCG06T7/10G06T2207/10004G06F18/22G06F18/241G06F18/25
Inventor 柳露艳马锴郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD
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