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

An image segmentation and image technology, applied in the field of artificial intelligence, can solve the problems of inaccurate output, reduce the accuracy of image segmentation, roughness, etc., and achieve the effect of improving accuracy

Pending Publication Date: 2021-06-22
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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AI Technical Summary

Problems solved by technology

However, since high-level features are extracted from the large receptive field of the neural network, only using deep high-level features for semantic inference will lead to rough and inaccurate output, which reduces the accuracy of image segmentation

Method used

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

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Embodiment Construction

[0123] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the protection scope of the present disclosure.

[0124] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0125] In the following description, the term "first\second\third" is only used to distinguish similar objects, and does not represent a specific ordering of objects. Understandably, "first\second\third" Where permitted, the specific order or sequencing may be interchanged such that the embodiments of the disclosure described herein can be practiced ...

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Abstract

The invention provides an image segmentation method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: extracting a bottom layer image feature from a to-be-processed image, and performing semantic segmentation on the bottom layer image feature to obtain a high layer semantic feature; carrying out at least one processing of texture enhancement and texture feature statistics on the bottom layer image features to obtain bottom layer texture features, wherein the bottom-layer texture features are used for representing statistical distribution of enhanced texture details and / or texture features of the to-be-processed image; and combining the high-level semantic features with the bottom-level texture features to obtain a semantic segmentation image. According to the invention, the accuracy of image segmentation can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to an image segmentation method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] The goal of semantic segmentation is to predict the semantic category of each pixel of the input image. It is one of the most basic problems in the field of computer vision and is widely used in various fields, including but not limited to autonomous driving, human-computer interaction, etc. The current semantic segmentation methods mainly focus on using the context information in the high-level features, using a deep fully convolutional network for network inference, and obtaining the semantic segmentation results of the image. However, since high-level features are extracted from the large receptive field of neural networks, only using deep high-level features for semantic inference will lead to rough and inaccurate output,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/267G06V10/44G06N3/045
Inventor 纪德益祝澜耘
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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