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SAR image segmentation method for bee colony and gray association algorithm on basis of superpixel blocks

An image segmentation and gray correlation technology, applied in the field of image processing, can solve problems such as image segmentation disorder, and achieve the effects of reducing misclassification, improving center selection, and improving consistency

Inactive Publication Date: 2015-01-21
HANGZHOU DIANZI UNIV
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Problems solved by technology

The disadvantage of this method is that it is often necessary to repeatedly calculate and modify the membership degree, and when segmenting complex images, the result of image segmentation disorder is prone to occur.

Method used

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  • SAR image segmentation method for bee colony and gray association algorithm on basis of superpixel blocks
  • SAR image segmentation method for bee colony and gray association algorithm on basis of superpixel blocks
  • SAR image segmentation method for bee colony and gray association algorithm on basis of superpixel blocks

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Realize the concrete steps of the present invention as figure 1 Shown:

[0038] Step 1, preprocess a SAR image to be segmented, and use lee filter to remove noise.

[0039] Step 2, calculate the superpixel block.

[0040] Using the SLIC method, the current image to be segmented is segmented into superpixel blocks.

[0041] The specific steps of the SLIC method are as follows:

[0042] Step 1: Based on experience, it is given that a total of K superpixel blocks should be divided into, and the total number of pixels of the image N is calculated.

[0043] then according to Calculate the side length D of the superpixel.

[0044] Step 2: Divide the image into blocks according to the predetermined plan, set the initial superpixel center on the center of the rectangular block, calculate the gradient for the 3×3 domain of each initial cluster center, and then mov...

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Abstract

The invention discloses an SAR image segmentation method for a bee colony and gray association algorithm on the basis of superpixel blocks. The method comprises the steps of (1) pretreating an SAR image to be segmented; (2) calculating the superpixel blocks; (3) initializing the gray space of each superpixel block; (4) carrying out optimization in each superpixel block through a bee colony algorithm to find the optimal cluster center; (5) initializing the distances between the cluster centers of the superpixel blocks and the cluster centers of the other adjacent pixel blocks; (6) defining the correlation degree of the pixel blocks in a domain and the other adjacent domains according to a weighing formula; (7) repeatedly executing the step (6) until each pixel block is classified into the category with the optimal weight; (8) obtaining a segmentation result. According to the method, the SAR image to be segmented is segmented into the superpixel blocks, so that pixel points in the image have position information restriction, the image cannot be disordered, and the local integrity of the image is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image segmentation method of superpixels with spatial and gray-scale related features in the technical field of image segmentation. The present invention uses an image segmentation method based on simple linear iterative clustering (Simple Linear Iterative Clustering, SLIC) and gray-scale correlation to process synthetic aperture radar (Synthetic Aperture Rader, SAR) images. Background technique [0002] Image segmentation is the technology and process of dividing an image into several specific and uniquely interesting regions, and then extracting the target of interest. It is a necessary step for advanced image manipulations such as image recognition, feature extraction, and computer vision. In recent years, many new methods and ideas have emerged in the field of image segmentation, such as fuzzy c-means and superpixel segmentation methods. Such methods can enhance th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/11G06T2207/10044G06T2207/20112
Inventor 李建军陈艾武娜孟利娟张善卿崔扬陈谢
Owner HANGZHOU DIANZI UNIV
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