Image segmentation method and device and server

An image segmentation and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem that the boundary of the object to be segmented cannot be accurately segmented

Pending Publication Date: 2020-05-12
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides an image segmentation method, device and server to solve the problem that the boundaries between different objects to be segmented cannot be accurately segmented

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  • Image segmentation method and device and server
  • Image segmentation method and device and server
  • Image segmentation method and device and server

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Embodiment 1

[0044] Such as figure 1 As shown, it is a schematic flowchart of the image segmentation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the application scene of multi-target segmentation of images, and the method can be executed by an image segmentation device, which can be a server, a smart terminal, a tablet or a PC, etc.; in the embodiment of this application, the image segmentation device is used as The executive body will explain that the method specifically includes the following steps:

[0045] S110. Input the image to be segmented into the image segmentation model, perform feature extraction on the image to be segmented to generate a feature map, and calculate the spatial position relationship between pixels in the feature map to obtain spatial position information;

[0046] In the existing image segmentation methods, image segmentation can be performed by constructing an image segmentation model including a neural network th...

Embodiment 2

[0061] Such as image 3 What is shown is a schematic flowchart of the image segmentation method provided by Embodiment 2 of the present invention. On the basis of Embodiment 1, this embodiment also provides a process of calculating the spatial position relationship between pixels in the feature map to obtain spatial position information, thereby further improving the accuracy of image segmentation. The method specifically includes:

[0062] S210. Input the image to be segmented into the image segmentation model, and perform feature extraction on the image to be segmented through N information extraction modules connected in series in the encoder to generate a feature map; the N information extraction modules are set according to preset scale information, N ≥1;

[0063] The N information extraction modules are set according to preset size information, so that each information extraction module has different size information. After the image to be segmented is input into the ...

Embodiment 3

[0081] Such as Figure 5 What is shown is the image segmentation device provided by Embodiment 3 of the present invention. On the basis of Embodiment 1 or 2, the embodiment of the present invention also provides an image segmentation 5, which includes:

[0082] The image feature and location information extraction module 501 is used to input the image to be segmented into the image segmentation model, perform feature extraction on the image to be segmented to generate a feature map, and calculate the spatial position relationship between pixels in the feature map to obtain a spatial location information;

[0083] In an implementation example, when the image to be segmented is input into the image segmentation model, feature extraction is performed on the image to be segmented to generate a feature map, and the spatial position relationship between pixels in the feature map is calculated to obtain the spatial position information, the image Feature and location information ex...

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Abstract

The invention belongs to the technical field of image segmentation, and provides an image segmentation method and device, and a server, and the method comprises the steps: inputting a to-be-segmentedimage into an image segmentation model, carrying out the feature extraction of the to-be-segmented image to generate a feature map, and calculating the spatial position relation between pixel points in the feature map to obtain spatial position information; fusing the feature map and the spatial position information to obtain a feature map containing the spatial position information; and segmenting the to-be-segmented image according to the feature map containing the spatial position information, and outputting a target image. According to the embodiment of the invention, the problem that theboundary between different to-be-segmented targets cannot be segmented accurately is solved.

Description

technical field [0001] The present invention relates to the technical field of image segmentation, in particular to an image segmentation method, device and server. Background technique [0002] Image segmentation is one of the research hotspots in computer graphics, and it has important applications in medical disease diagnosis, unmanned driving and other fields. At present, there are many methods for image segmentation algorithms, among which (U-Net) U-shaped neural network algorithm is one of the most commonly used algorithms. The U-shaped neural network algorithm is composed of an encoder and a decoder, and the encoder and decoder are connected by splicing in the image channel dimension. Specifically, the image to be segmented first passes through the encoder to extract image features. The encoder is composed of multiple convolutional layers, and the convolutional layers are connected by pooling layers to reduce the dimension of the original image to a certain size. Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06K9/62
CPCG06T7/12G06T2207/20081G06T2207/20084G06F18/253
Inventor 廖祥云孙寅紫王琼王平安
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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