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Image segmentation method and device

An image segmentation and image technology, applied in the computer field, can solve the problem of low image segmentation accuracy and achieve the effect of improving accuracy and speed

Active Publication Date: 2021-08-27
NANKAI UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide an image segmentation method and device for solving the problem of low image segmentation accuracy in the prior art

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Embodiment Construction

[0085] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0086] Image segmentation technology can play an important role in a variety of scenarios. For example, in scene understanding, the image can be segmented first, and then the object category to which each region belongs can be identified, so as to realize the semantic segmentation of the entire scene; in object tracking , use a set of segmented regions to represent the object to...

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Abstract

The present invention provides an image segmentation method and device, the method comprising: A, acquiring the first segmented image corresponding to the image to be segmented; B, determining the features that need to be extracted from the current first segmented image; C, determining the current first segmented image Carry out the eigenvalue calculation of the feature that needs to be extracted in every two adjacent regions, and obtain the feature vector of every two adjacent regions in the current first segmented image according to the preset algorithm; D, according to the current first segmented image The eigenvectors and preset eigenweights of every two adjacent areas in the , construct an undirected graph; E, traverse the edges in the undirected graph, merge the undirected graph, according to the merged undirected graph Obtain a new first segmented image after region merging; F, execute B-E in a loop for N times, wherein N is a preset value greater than or equal to 2. This method can greatly improve the accuracy and speed of image segmentation.

Description

technical field [0001] The invention relates to computer technology, in particular to an image segmentation method and device. Background technique [0002] Image segmentation is widely used in computer vision and graphics problems. Image segmentation refers to the use of a specific algorithm to divide an image into several disjoint sub-regions. The higher the internal similarity of each sub-region and the greater the difference between different sub-regions, the better the segmentation effect. [0003] In the prior art, a graph-based greedy clustering image segmentation algorithm is proposed. In this algorithm, the original image that needs to be segmented is first converted into an undirected graph, and each vertex in the undirected graph is A pixel in the original image, each edge in the undirected graph has a weight, which represents the two pixels connected by the edge, that is, the degree of dissimilarity between the two regions. Secondly, according to the weight of ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11
Inventor 程明明刘云侯淇彬白蔚
Owner NANKAI UNIV