Image semantic segmentation method and device, electronic equipment and readable storage medium

A semantic segmentation and image technology, applied in the field of image processing, can solve the problems of low semantic segmentation accuracy and inability to accurately segment images, and achieve the effect of improving accuracy

Active Publication Date: 2020-05-05
QINGDAO RES INST OF BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Although, with the emergence of deep convolutional neural networks, computer vision processing tasks such as semantic segmentation of images have achieved breakthrough development, but due to the complexity of implementing semantic segmentation of images, there are still many problems. For exa

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  • Image semantic segmentation method and device, electronic equipment and readable storage medium
  • Image semantic segmentation method and device, electronic equipment and readable storage medium
  • Image semantic segmentation method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0028] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0029] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0030] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0031] In all examples shown and discussed herein, any specific values ​​should be construed as illustrative only, and not as limiting. Therefore, other instances of the exemplary embodiment may have dif...

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Abstract

The invention discloses an image semantic segmentation method and device and electronic equipment. The method is implemented through a semantic segmentation model comprising a feature extraction module, a feature aggregation module and a feature fusion module, and comprises the following steps: extracting shallow features and deep features of a target image through the feature extraction module, and constructing a feature pyramid of the target image according to the deep features; wherein the feature pyramid comprises deep features of the corresponding image on different scales; aggregating the deep features of different scales in the feature pyramid of the target image through a feature aggregation module to obtain an aggregated feature map; and fusing the shallow features of the target image and the aggregation feature map through a feature fusion module to obtain a fusion feature map, and obtaining a corresponding semantic segmentation result according to the fusion feature map.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, relates to a semantic segmentation method, device, electronic device and readable storage medium of an image. Background technique [0002] Image semantic segmentation, also known as image semantic annotation, refers to classifying a category label for each pixel unit in the image (a pixel unit can be one or a preset number of pixels) according to the semantic information of the image. The category label corresponding to the semantic information divides the image into image regions corresponding to different semantic information. Semantic segmentation of images has broad application prospects in areas such as autonomous driving, scene understanding, robot vision, and medical image analysis. [0003] Although, with the emergence of deep convolutional neural networks, computer vision processing tasks such as semantic segmentation of images have achieved brea...

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Application Information

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IPC IPC(8): G06K9/62G06K9/34G06K9/46
CPCG06V10/26G06V10/40G06F18/253
Inventor 梁晓辉卢杨王平平于洋冷芝莹
Owner QINGDAO RES INST OF BEIHANG UNIV
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