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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: 2014-08-20
XIAOMI INC
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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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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 invention discloses an image segmentation method and device and belongs to the field of image processing. The image segmentation method includes the following steps: establishing a significance model of an image; according to the significance model, obtaining foreground sample points and background sample points in the image; according to the significance model and the foreground sample points and the background sample points, establishing a foreground and background classification model; and according to a preset image segmentation algorithm, segmenting the image, wherein the preset image segmentation algorithm uses the foreground and background classification model and edge information between pixel points to segment the image. Through automatic determination of the foreground and background sample points in combination with the significance model, the foreground and background classification model is established and the foreground and background classification model is used to realize image segmentation. Therefore, problems, which exist in related technologies, that the foreground sample points and the background sample points must be selected roughly manually and the segmentation efficiency is comparatively low when a large quantity of images are segmented are solved so that effects of realizing automation selection of samples and improving the classification precision and segmentation efficiency are achieved.

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...

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Application Information

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IPC IPC(8): G06T7/00
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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