An edge-preserving multi-scale mrf model image segmentation method

An edge preservation and image segmentation technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of blurred edge details of low-resolution images, blurred edges of image segmentation, blurred edges of segmentation results, etc., to avoid image segmentation Effects of edge blurring, avoiding block effects, and suppressing effects

CN107909597BActive Publication Date: 2021-05-14XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-05-14

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Abstract

The invention discloses a multi-scale MRF model image segmentation method with edge preservation. Firstly, a local interactive image multi-scale grid segmentation model is established based on the multi-grid model, and then the edge prior of the image is extracted by using the Cauchy model with edge preservation function. knowledge, establish a fusion edge-preserving local area interactive multi-scale MRF model, and segment the image; in order to realize the fusion of image local area features and edge features, solve the block effect phenomenon of the conventional multi-scale MRF model in the optimization process, and effectively maintain The edge of the image segmentation result.
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Description

technical field

[0001] The invention belongs to the technical field of image segmentation, and in particular relates to an image segmentation method of a multi-scale MRF model with an edge preserving function. Background technique

[0002] Image processing methods based on multi-scale MRF (Markov Random Field) models have been widely used. This multi-scale MRF structure often adopts the multi-resolution method of the image, using the lower-resolution image to describe the global features of the image, and the higher-resolution image to describe the detailed features of the image, and then through the causality between the layers of the multi-scale MRF model Relationship, build a top-down image segmentation algorithm.

[0003] The image segmentation algorithm based on the multi-scale MRF model has low computational complexity, but the quadtree structure of the commonly used multi-scale MRF model leads to blurring or even loss of edge details in low-resolution images during t...

Examples

Embodiment Construction

[0066] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0067] see figure 1 Shown, a kind of multi-scale MRF model image segmentation method with edge preservation of the present invention, comprises the following steps:

[0068] Step 1: Input a natural image to be segmented.

[0069] Step 2: Parameter initialization: Determine the number of segmentation categories K, the number of multi-scale layers L, and the initial value of the edge scale factor η.

[0070] 2a) Let Ω={1,2,...,K} represent the pixel node label space, and manually determine the number K of segmentation categories.

[0071] 2b) Given the number of layers L of the multi-scale MRF model, according to the experimental results and the operational complexity requirements of the RBP algorithm, it is more appropriate to choose the number of layers of the EPMRMRF model...