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Image segmentation method and application and computing device

An image segmentation and computing device technology, applied in the field of image processing, can solve the problems of unnatural interaction, low segmentation accuracy, and insufficient segmentation results.

Active Publication Date: 2017-01-18
XIAMEN MEITUZHIJIA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional image segmentation algorithms have two major problems: 1) The interaction method is unnatural; 2) The segmentation accuracy is not high
For example, GrabCut requires the user to frame the ROI with a rectangular box, and the initial segmentation results are usually not good enough

Method used

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  • Image segmentation method and application and computing device
  • Image segmentation method and application and computing device
  • Image segmentation method and application and computing device

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Embodiment Construction

[0067] 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.

[0068] figure 1 A block diagram of a computing device 100 according to one embodiment of the present invention is shown. Computing device 100 may be a cell phone, tablet computer, personal digital assistant (PDA), personal media player device, wireless web browsing device, application-specific device, or a hybrid device including any of the above. A computing device may also be a desktop computer, laptop computer, server, workstat...

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Abstract

The invention discloses an image segmentation method. The method comprises that an image to be segmented is loaded; a characteristic vector of each pixel in the image is collected; selection of a region of interest (ROI) and a non region of interest (NROI) is received; according to characteristic vectors of pixels in the ROI, the pixels in the ROI are clustered into a first amount of interest classifications, and classification information of each interest classification is determined; according to characteristic vectors of pixels in the NROI, the pixels in the NROI are clustered into a second amount of non interest classifications, and classification information of each non interest classification is determined; the probability that each pixel in the image is a pixel of interest is calculated; the color similarity of every two adjacent pixels in the image is calculated; and a label value of each pixel in the image is determined according to the probability that each pixel is the pixel of interest and the color similarity of every two adjacent pixels. The invention also discloses an image segmentation application in which the method is enforced and a computing device including the application.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image segmentation method, application and computing equipment. Background technique [0002] Image-based social networking is becoming a new and popular social method. For example, a large number of images are uploaded every day on applications such as Weibo, WeChat Moments, and Instagram. Traditional image editing methods such as simply adding filters to images can no longer meet people's social and entertainment needs, and image segmentation has become an important image editing method. Image segmentation, commonly known as matting, is a process of selecting and segmenting a region of interest (Region of Interest, ROI) in an image. Through image segmentation, we can perform secondary processing or processing on ROI. For example, the segmented ROI part can be kept unchanged, and the rest of the image can be turned into a grayscale image to highlight the ma...

Claims

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Application Information

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IPC IPC(8): G06T7/11
CPCG06T2207/10004G06T2207/20104
Inventor 万鹏飞张伟傅松林程安
Owner XIAMEN MEITUZHIJIA TECH
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