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Image segmentation method and device

An image segmentation and graph cutting algorithm technology, applied in the field of image processing, can solve the problem of low segmentation efficiency

Active Publication Date: 2017-10-03
XIAOMI INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to solve the problem in the related art that the user must roughly select foreground sample points and background sample points manually, and the segmentation efficiency is relatively low when a large number of images are segmented, the present disclosure provides an image segmentation method and device

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  • Image segmentation method and device

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Embodiment Construction

[0107] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0108] The "electronic devices" mentioned in this article can be smartphones, tablet computers, smart TVs, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, moving picture experts compression standard audio layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image experts compress standard audio layer 4) Players, laptops and desktop computers, etc.

[01...

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Abstract

The disclosure discloses an image segmentation method and device, belonging to the field of image processing. The image segmentation method includes: establishing a saliency model of the image; obtaining foreground sample points and background sample points in the image according to the saliency model; establishing a foreground and background classification model according to the saliency model and the foreground sample points and background sample points; The predetermined graph cut algorithm is used to segment the image, and the predetermined graph cut algorithm uses the foreground and background classification model and the edge information between pixels to segment the image. By automatically determining the foreground and background sample points and combining the saliency model to establish a foreground and background classification model, the foreground and background classification model is used to achieve image segmentation; it solves the need for users to manually roughly select foreground sample points and background sample points in related technologies , when a large number of images are segmented, the segmentation efficiency is relatively low; the effect of automatic sample selection can be achieved, and the classification accuracy and segmentation efficiency are improved.

Description

technical field [0001] The present disclosure relates to the field of image processing, and in particular to an image segmentation method and device. Background technique [0002] Image segmentation technology is the basis of image analysis, image editing and image synthesis and other fields. Image segmentation technology can segment the foreground and background from the image. How to quickly and automatically segment the foreground and background from the image is an important research topic at present. topic. [0003] In related image segmentation methods, firstly, the foreground sample points and background sample points in the image manually selected by the user are received; then, the foreground and background color likelihood model is established according to the foreground sample points manually selected by the user; finally, the foreground and background color likelihood model is established according to the previous The background color likelihood model segments t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/66
CPCG06T2207/10024G06T2207/20076G06T7/11G06T7/162G06T7/194G06T7/00H04N5/262H04N5/2624H04N5/2625H04N5/2627H04N5/272
Inventor 王琳秦秋平陈志军
Owner XIAOMI INC
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