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Image segmentation method and device, electronic equipment and storage medium

An image segmentation and image technology, applied in the field of computer vision, can solve the problems of no solution, insufficient stability of the accuracy of labeling results, low accuracy of image segmentation results, etc., to achieve accuracy improvement and precise manual processing Effect

Active Publication Date: 2019-09-06
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The image segmentation technology based on deep learning uses manual annotation to obtain the annotation results, which does not have sufficient stability for the accuracy of the annotation results, and the resulting image segmentation results are not accurate.
There is no effective solution in the related art

Method used

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

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Embodiment Construction

[0075] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0076] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0077] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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Abstract

The invention relates to an image segmentation method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the image segmentation of an image according to the region position of the image where a to-be-segmented object is located, and obtaining an image segmentation result; obtaining a first interaction operation under the condition that a staggered region exists in the image segmentation result; and responding to the first interaction operation to obtain a marking result for the misdivision region, and correcting the image segmentation resultaccording to the marking result. By adopting the method and the device, the accuracy of an image segmentation result can be improved, so that a focus can be positioned in time.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to an image segmentation method and device, electronic equipment, and a storage medium. Background technique [0002] The rapid development of deep learning has made remarkable achievements in the field of image segmentation. The image segmentation technology based on deep learning uses manual annotation to obtain the annotation results, which does not have sufficient stability for the accuracy of the annotation results, and the accuracy of the resulting image segmentation results is not high. No effective solution exists in the related art. Contents of the invention [0003] The present disclosure proposes an image segmentation technical solution. [0004] According to an aspect of the present disclosure, an image segmentation method is provided, the method comprising: [0005] performing image segmentation on the image according to the region position of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/70G06T7/80G16H30/40
CPCG06T2207/30004G06T7/11G06T7/70G06T7/80G16H30/40
Inventor 宋涛朱洁茹
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD