Method using improved intuitionistic fuzzy clustering algorithm to segment infrared ship image

A ship image, intuitive fuzzy technology, applied in the field of digital image processing, can solve problems such as misclassification, classification of ship bodies into one category, lost targets, etc.

Active Publication Date: 2018-06-22
BEIHANG UNIV
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Problems solved by technology

However, in the infrared ship image, the coast or river bank is usually equivalent to the pixel value of the ship target, so the general fuzzy clustering algorithm will misclassify it as the target class
At the same time, th

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  • Method using improved intuitionistic fuzzy clustering algorithm to segment infrared ship image
  • Method using improved intuitionistic fuzzy clustering algorithm to segment infrared ship image
  • Method using improved intuitionistic fuzzy clustering algorithm to segment infrared ship image

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Embodiment Construction

[0066] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0067] The principle block diagram of the present invention is as figure 1 Shown, the specific implementation steps of the present invention are as follows:

[0068] Step 1: Determine the position of the center of the ship. The possible area of ​​the ship is determined by using the image variance matrix and the threshold obtained by Chebyshev's inequality, and the center of the possible area is used as the preset center of the ship.

[0069] Wherein, Step 1 specifically includes the following steps:

[0070] 1) Use the Gaussian filter to smooth the image and suppress the noise in the image. The Gaussian filter template size is 3×3, and the standard deviation is set to 0.5.

[0071] 2) Calculate the variance matrix of the image, and normalize the variance ma...

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Abstract

The invention relates to a method using an improved intuitionistic fuzzy clustering algorithm to segment an infrared ship image. The method includes: using a threshold obtained by an image variance matrix and a Chebyshev inequality to determine the possible area of a ship, and using the center of the possible area as the preset ship center; using the improved intuitionistic fuzzy clustering algorithm to segment the infrared ship image. The method has the advantages that the ship central position is considered, and the ship central positon is used to build the distance measurement from pixels to different clustering centers; the regular terms built by area variance is used to guide neighborhood information into a target function; the improved algorithm sufficiently considers the influence of the ship central position on data clustering, reasonably utilizes the neighboring information, and accordingly the infrared ship image segmentation result is improved evidently, and the method is promising in market prospect and high in application value.

Description

【Technical field】 [0001] The invention relates to a method for segmenting an infrared ship image by using an improved intuitive fuzzy clustering algorithm. The fuzzy clustering technique and the image segmentation technique are widely used in the field of image application and belong to the field of digital image processing. 【Background technique】 [0002] Image segmentation is an image processing technology that divides the image into several regions with unique properties according to the characteristic information of the image (such as grayscale, shape and gradient, etc.). Image segmentation adds the same label to pixels with common visual characteristics, which simplifies the representation of the image to a certain extent, and is beneficial to the understanding and analysis of the image. Generally, image segmentation is a very important preprocessing technique in the field of computer vision and image recognition. Therefore, a fast, accurate and universal image segment...

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Application Information

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IPC IPC(8): G06T7/11G06T5/00G06K9/62
CPCG06T5/002G06T7/11G06T2207/10004G06F18/23
Inventor 白相志晋达睿
Owner BEIHANG UNIV
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