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Method for extracting image foreground based on super pixel and fast trimap image

A technology of foreground extraction and super-pixel, which is applied in the field of computer vision and image processing, can solve the problems that Trimap cannot be automatically adapted, and the calculation time complexity and space complexity are large, so as to achieve high practical application value and segmentation efficiency high effect

Inactive Publication Date: 2015-09-09
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0007] 1) Computational time complexity and space complexity are relatively large;
[0008] 2) Trimap Trimap required for subsequent Matting processing cannot be automatically adapted

Method used

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  • Method for extracting image foreground based on super pixel and fast trimap image
  • Method for extracting image foreground based on super pixel and fast trimap image
  • Method for extracting image foreground based on super pixel and fast trimap image

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] refer to figure 1 , the steps that the present invention realizes are as follows.

[0033] Step 1 Load the image and perform superpixel preprocessing

[0034] GrabCut image segmentation based on pixel level is time-consuming, so it is necessary to apply superpixel preprocessing to speed up. A superpixel is a small area composed of a series of adjacent pixels in an image with similar characteristics such as color, brightness, and texture. The Simple Linear Iterative Clustering (SLIC) algorithm is proven to be the best superpixel segmentation method currently. SLIC converts LAB color space and coordinate space into 5-dimensional vectors. Most of the small areas of superpixels retain effective information for further image segmentation, and generally do not destroy the boundary information of objects in the image. The algorithm sets the superpixel si...

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Abstract

The present invention discloses a method for extracting image foreground based on the super pixel and fast trimap image. The method mainly comprises: (1) using the SLIC algorithm to perform super pixel preprocessing; (2) extracting super pixel features such as average color feature and coordinates of the centre-of-gravity location; (3) establishing a structure of weighted directed graph, and performing iterative energy minimization segmentation for the image obtained by segmenting the super pixel by using the GrabCut technology; (4) generating a rapid self-adaptation Trimap based on Raw Mask; (5) performing smooth process for the initial hard segmentation edge to obtain Refined Mask; and (6) extracting foreground image output. According to the present invention, the efficiency of image segmentation can be improved, and image Matting edge correction can be more convenient and efficient, which gains a high application value.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, especially for natural images with obvious foreground objects, extracting foreground objects, providing effective foreground information for subsequent application processing, and can be applied to image editing, object tracking, and image retrieval etc. Background technique [0002] Foreground extraction refers to the task of identifying and extracting objects of interest from real images. It is a branch of image segmentation and one of the key problems in the fields of computer vision and pattern recognition. Image segmentation plays a link between the past and the future in the research of image analysis and image processing, and it is an important part of image processing. It can not only test the effect of image preprocessing, but also lay a solid foundation for subsequent image analysis and processing. Since its creation, it has been widely used in many field...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/12
Inventor 李学龙刘康董永生
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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