Foreground and background segmentation method and apparatus of image, and terminal

An image, to-be-segmented technology, applied in the field of image processing, can solve the problems of limited statistical model accuracy, easy omission, confusion of foreground and background models, etc., and achieves the effect of high segmentation accuracy, high segmentation accuracy, and fine foreground and background segmentation.

Inactive Publication Date: 2015-12-09
XIAOMI INC
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Problems solved by technology

The foreground and foreground segmentation algorithms in the related art usually construct statistical models for the foreground and the background respectively according to the part of the foreground and foreground areas specified by the user, to represent the statistical regularity of the respective pixels; due to the limitation of the accuracy of the statistical model, if the model If there are many components, it is easy to confuse the foreground and foreground models; if the model components are small, it is easy to miss some important features, so the segmentation fineness is not ideal.

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  • Foreground and background segmentation method and apparatus of image, and terminal
  • Foreground and background segmentation method and apparatus of image, and terminal
  • Foreground and background segmentation method and apparatus of image, and terminal

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[0064] 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 disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0065] The terminology used in the present disclosure is for the purpose of describing particular embodiments only, and is not intended to limit the present disclosure. As used in this disclosure and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood...

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Abstract

The disclosure relates to a foreground and background segmentation method and apparatus of an image, and a terminal. The method comprises: a foreground region, a possible foreground region, and a background region of a to-be-segmented image are obtained; a neighbor pixel of each pixel is determined according to color information and spatial position information of each pixel in the to-be-segmented image; on the basis of the foreground region, the possible foreground region, and the background region as well as the neighbor pixel of each pixel, a probability value of each pixel as a target foreground region is determined; and foreground and background segmentation is carried out on the to-be-segmented image based on the probability value of each pixel as the target foreground region in the to-be-segmented image. According to the embodiment of the invention, the neighbor pixel of each pixel can be detected and similarity of all pixels in a full image range can be considered, so that the refined foreground and background segmentation can be realized precisely and the segmentation precision is high.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method, device, and terminal for image front-background segmentation. Background technique [0002] In the field of image processing, there is a great demand for the segmentation of the foreground and the background of the image. For example, it is often necessary to segment the characters in the image and synthesize them into other backgrounds. Foreground and foreground segmentation algorithms in the related art usually construct statistical models for the foreground and background respectively according to part of the foreground and foreground areas specified by the user, to represent the statistical regularity of the respective pixels; due to the limitation of the accuracy of the statistical model, if the model If there are many components, it is easy to confuse the foreground and foreground models; if the model components are small, it is easy to miss...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 刘洁吴小勇王维
Owner XIAOMI INC
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