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

An image segmentation and image technology, applied in the field of the Internet of Things, can solve the problem of low accuracy of segmentation results, and achieve the effect of retaining diversity, improving accuracy, and improving authenticity

Pending Publication Date: 2020-11-10
CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an image segmentation method, device, electronic equipment and computer-readable storage medium, the main purpose of which is to solve the problem of low accuracy of segmentation results of traditional segmentation networks

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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

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized.

[0037] The embodiment of the present invention relates to an image segmentation method. The core of this embodiment is to simulate the effect of multiple biological retinal imaging. When performing feature extraction on an image, the range of the receptive field is expanded while retaining the high-resolution...

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Abstract

The invention relates to the internet of things technology, and discloses an image segmentation method comprising the following steps: using a pre-constructed image segmentation model comprising multi-scale convolution kernels and multi-voidage void convolution to carry out feature extraction on a to-be-segmented image to acquire a feature map; splicing the feature map and executing up-sampling operation to obtain a restored image; and performing pixel segmentation on the restored image by using an image segmentation algorithm to obtain a segmented image. The invention further provides an image segmentation method and device, electronic equipment and a computer readable storage medium. According to the invention, the problem of low accuracy of the segmentation result of the traditional segmentation network can be solved.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, in particular to an image segmentation method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] 5G broadens the application scenarios for the Internet of Things (IOT) and enables the Internet of Things to be applied to various vertical industries, thereby promoting the arrival of the era of Internet of Things. In many practical application scenarios of the Internet of Things, various smart home robots can walk autonomously like humans, and autonomous walking requires smart home robots to have the ability to recognize scenes. [0003] In the process of training artificial intelligence models for scene recognition, how to segment the pixels in the scene image is crucial to the accuracy of scene recognition. Existing image segmentation mostly uses semantic segmentation solutions based on deep learning, for example, FCN (full convolutiona...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06T3/40G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/10G06T3/4038G06N3/08G06T2207/20081G06T2207/20084G06V10/44G06N3/045G06F18/23G06F18/214
Inventor 马桤李磊聂智戈石娜吴贤望李婉
Owner CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD
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