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Interactive type image segmentation and fusion method based on grabucut algorithm

An image segmentation and fusion method technology, which is applied in the field of interactive image segmentation and fusion, can solve the problems of rough boundaries and difficult to obtain segmentation effects, and achieve the effect of fine edges, improved segmentation efficiency, and improved realism.

Inactive Publication Date: 2018-02-23
TIANJIN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

This method obtains a relatively stable segmentation effect, and the speed is much improved. The disadvantage is that because it is not segmented based on the pixel level, the obtained boundary is relatively rough, and it is difficult to obtain a good segmentation effect.

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  • Interactive type image segmentation and fusion method based on grabucut algorithm
  • Interactive type image segmentation and fusion method based on grabucut algorithm

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Embodiment Construction

[0050] The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment:

[0051] The present invention protects an interactive image segmentation and fusion method based on the grabcut algorithm, such as figure 1 shown, including the following steps:

[0052] Step 1, input image A, perform scale transformation on the input image, and generate source image A with even number of rows and columns 1 , for the source image A 1 Perform a pyramid downsampling operation to obtain a downsampled image A 3 , the downsampled image A 3 The number of rows and columns is the source image A 1 1 / 2 of

[0053] Step 2, adjust image A 3 The image contrast of the image A with proper contrast is obtained 4 , for image A 4 Perform open-close reconstruction filtering to remove some isolated pixels and noise points in the image, and obtain the filtered image A 5 ;

[0054] 201, if image A 3 If it is too exposed, reduce its contrast and get...

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Abstract

The invention discloses an interactive type image segmentation and fusion method based on a grabucut algorithm. The interactive type image segmentation and fusion method based on a grabucut algorithmcomprises steps of adopting a pyramid down-sampling to reduce a resolution of an image, using few typical pixel points to estimate a GMM parameter, using an interactive type technology to mark a foreground and a background of the image, performing watershed segmentation, performing modification on a mask image obtained from segmentation and transmitting the modified the mask image to a grabucut for fine segmentation, performing morphological processing on the segmented image, continuously performing pixel transformation and morphological processing on a processed image to obtain a tripartite graph, using the trimap graph and a source graph as inputs, using a shared matting algorithm to obtain an alpha channel image of the foreground image, using the alpha channel image, the source image and a new background image as inputs and using an alpha blending transparent mixed algorithm to obtained a fused image.

Description

technical field [0001] The invention relates to the technical field of image segmentation and fusion based on interaction, in particular to an interactive image segmentation and fusion method based on grabcut algorithm. Background technique [0002] Target segmentation and fusion is an important research topic in the field of computer vision. Target segmentation is the basis of target fusion. The quality of target segmentation results will directly affect the subsequent classification, recognition, and understanding effects. How to improve the accuracy and speed of target segmentation It has great research significance and is also a hot research topic in recent years. [0003] In 2001, Boykov et al. introduced the graph cut theory into the field of image segmentation for the first time. Graph cut is an interactive image segmentation algorithm based on regions and boundaries. The similarity between two adjacent pixels corresponds to the weight of two fixed-point edges, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/194G06K9/62
CPCG06T7/194G06F18/23213
Inventor 苏寒松张倩芳刘高华
Owner TIANJIN UNIV
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