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Image scene segmentation method, device, computing device and computer storage medium

A scene segmentation and image technology, applied in the field of image processing, can solve the problems of deviation in target category judgment, low accuracy of image scene segmentation, wrong judgment as background, etc., so as to optimize the image scene segmentation processing method, improve the accuracy and process The effect of efficiency

Active Publication Date: 2018-01-19
BEIJING QIHOO TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for image scene segmentation, the scene often contains objects of different sizes. Using a segmentation network with a fixed-size receptive field often causes problems when dealing with too large and too small objects. For example, for smaller objects, the receptive field It will capture too much background around the target, thereby confusing the target with the background, causing the target to be missed and misjudged as the background; for larger targets, the receptive field can only capture a part of the target, which makes the target category judgment biased, resulting in Discontinuous Segmentation Results
Therefore, the image scene segmentation processing method in the prior art has the problem of low accuracy of image scene segmentation

Method used

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  • Image scene segmentation method, device, computing device and computer storage medium
  • Image scene segmentation method, device, computing device and computer storage medium
  • Image scene segmentation method, device, computing device and computer storage medium

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Embodiment Construction

[0061] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0062] figure 1 Shows a schematic flow chart of an image scene segmentation method according to an embodiment of the present invention, the method is executed based on a trained scene segmentation network, as figure 1 As shown, the method includes the following steps:

[0063] Step S100, acquiring an image to be segmented.

[0064] Wherein, the image to be segmented is an image that the user wants to perform scene segmentation, a...

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Abstract

The invention discloses an image scene segmentation method, a device, a computing device and a computer storage medium. The image scene segmentation method is executed on the basis of a well trained scene segmentation network. The method comprises the following steps of acquiring a to-be-segmented image; inputting the to-be-segmented image into a scene segmentation network, wherein at least one layer of a convolution layer is formed in the scene segmentation network; subjecting the first convolution block of the convolution layer to scaling treatment by means of a scale coefficient outputted by a scale regression layer to obtain a second convolution block; carrying out the convolution operation of the convolution layer by utilizing the second convolution block to obtain the output result of the convolution layer, wherein the scale regression layer is a middle convolution layer of the scene segmentation network; and outputting a scene segmentation result corresponding to the to-be-segmented image. According to the technical scheme, the self-adaptive scaling of a sensing field is realized. The scene segmentation result can be quickly obtained through the trained scene segmentation network, and the image scene segmentation accuracy and the processing efficiency are improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image scene segmentation method, device, computing equipment and computer storage medium. Background technique [0002] In the existing technology, image scene segmentation processing methods are mainly based on fully convolutional neural networks in deep learning. These processing methods use the idea of ​​transfer learning to migrate the network obtained through pre-training on large-scale classification data sets to image processing methods. The segmentation network is trained on the segmentation data set to obtain the segmentation network for scene segmentation, and then the segmentation network is used to segment the scene of the image. [0003] The network architecture used in the segmentation network obtained in the prior art directly uses the image classification network, and the size of the convolution block in the convolutional layer is fixed, so the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/168G06N3/04
Inventor 张蕊颜水成唐胜
Owner BEIJING QIHOO TECH CO LTD
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