Human image segmentation method and mobile terminal

A mobile terminal and portrait technology, applied in the field of image processing, can solve the problems of high memory occupation, unsatisfactory segmentation effect, and wrong positioning, and achieve the effect of good segmentation effect, shortening running time and memory occupancy rate.

Active Publication Date: 2018-05-08
XIAMEN MEITUZHIJIA TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is not ideal for complex background or clothing segmentation, and the method based on color prior will also be affected by lighting, making positioning errors
[0005] The semantic segmentation method based on deep learning can better deal with complex situations in portrait segmentation processing, but the existing network model is generally relatively large, takes a long time to run, and takes up a lot of memory, which is not suitable for use on mobile terminals.

Method used

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  • Human image segmentation method and mobile terminal
  • Human image segmentation method and mobile terminal
  • Human image segmentation method and mobile terminal

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Embodiment Construction

[0031] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0032] figure 1 is a structural block diagram of the mobile terminal 100. The mobile terminal 100 may include a memory interface 102 , one or more data processors, image processors, and / or a central processing unit 104 , and a peripheral interface 106 .

[0033] Memory interface 102, one or more processors 104, and / or peripheral interface 106 may be discrete components or integrated into one or more integrated circuits. In the mo...

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Abstract

The invention discloses a human image segmentation method. The method is suitable for being executed in a mobile terminal, and comprises the following steps of: segmenting a to-be-processed image by utilizing a predetermined segmentation network, wherein the predetermined segmentation network comprises an encoding stage and a decoding stage, the encoding stage comprises a first number of pairs ofconvolution layers and down-sampling layers, which are connected in sequence, and each pair of convolution layer and down-sampling layer forms a convolution-down-sampling pair; outputting a down-sampling characteristic pattern of the encoding stage after carrying out iteration through a first number of convolution-down-sampling pairs, wherein the decoding stage comprise a first number of pairs ofconvolution layer and up-sampling layers, which are connected in sequence, and each pair of convolution layer and up-sampling layer forms a convolution-up-sampling pair; and outputting a segmentationresult map after carrying out iteration through the first number of convolution-up-sapling pairs. The invention furthermore discloses the corresponding mobile terminal.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a portrait segmentation method and a mobile terminal. Background technique [0002] Image segmentation is a basic application in image processing. It can accurately segment the part of the image that needs to be processed, which will help to improve the final processing effect. With the increasing application of mobile terminals, users can use mobile terminals to take portraits, and then automatically segment the portraits to add many other special effects, such as depth of field, changing background, other AR effects, and so on. [0003] Existing image segmentation schemes, one is to directly use image editing software such as Photoshop, users need to be proficient in various operations of Photoshop, and even need to have certain practical experience, which has high requirements for operators; and Photoshop cannot implemented on mobile terminals. The other is to perfo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10
CPCG06T2207/20081G06T2207/20084G06T7/10
Inventor 邢晨李启东张伟龚秋棠刘挺
Owner XIAMEN MEITUZHIJIA TECH
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