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Infrared weak and small target detection method based on fractional entropy

A technology of weak and small targets and detection methods, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the problems of low detection accuracy, achieve accurate detection results, be easy to implement, and avoid the loss of target and label details.

Active Publication Date: 2020-01-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of the problems of the above research, the purpose of the present invention is to provide a fractional entropy-based infrared weak target detection method to solve the problem of low detection accuracy in the prior art when the signal-to-noise ratio and image contrast are low

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  • Infrared weak and small target detection method based on fractional entropy
  • Infrared weak and small target detection method based on fractional entropy
  • Infrared weak and small target detection method based on fractional entropy

Examples

Experimental program
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Embodiment 1

[0105] A 6x6 sliding window is established on the original infrared image where the pixel to be detected is 320x240, and a 315x235 standby entropy image is obtained according to the 6x6 sliding window, the sliding step of the given sliding window is 1x1 and the original infrared image, wherein, Raw infrared images such as figure 2 As shown, the edges are blurred;

[0106] Based on the sliding step of the sliding window, slide the window on the original infrared image from left to right and from top to bottom, and get a ROI area each time, calculate the fractional entropy of the ROI area and assign it to the backup entropy value Pixels corresponding to the image to obtain the fractional entropy image;

[0107] The sliding window slides the original infrared image, and maps the pixel values ​​in the fractional entropy image to the space [0, 255] to obtain the mapped entropy image, such as image 3 shown;

[0108] Perform morphological filtering on the entropy image, first co...

Embodiment 2

[0112]A 6x6 sliding window is established on the acquired original infrared image with pixels to be detected as 256×172, and a backup entropy value of 251×167 is obtained according to the 6x6 sliding window, the sliding step of the given sliding window is 1x1 and the original infrared image image, among them, the original infrared image such as Figure 6 As shown, the background noise is very large;

[0113] Based on the sliding step of the sliding window, slide the window on the original infrared image from left to right and from top to bottom, and get a ROI area each time, calculate the fractional entropy of the ROI area and assign it to the backup entropy value Pixels corresponding to the image to obtain the fractional entropy image;

[0114] The sliding window slides the original infrared image, and maps the pixel values ​​in the fractional entropy image to the space [0, 255] to obtain the mapped entropy image, such as Figure 7 shown;

[0115] Perform morphological fil...

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Abstract

The invention discloses an infrared weak and small target detection method based on fractional entropy, which belongs to the field of original infrared image processing and target detection, and solves the problem of difficulty in the infrared weak and small target detection in the prior art. The method comprises the following steps of establishing a sliding window on an obtained original infraredimage to be detected, and obtaining a standby entropy image according to the sliding window, the sliding step length of the sliding window and the original infrared image; based on the sliding step length of the sliding window, sliding the sliding window once on the original infrared image from left to right and from top to bottom to obtain an ROI area, calculating the fractional entropy of the ROI area, assigning the fractional entropy to a pixel corresponding to the standby entropy image, and continuing to slide the window until the whole original infrared image is traversed; mapping the pixel values in the fractional entropy image after assignment into a space [0, 255] to obtain an entropy image; after the morphological processing is carried out on the entropy image, determining the position and the size of the target, repositioning the original image, and then obtaining a detection result.

Description

technical field [0001] A fractional entropy-based infrared weak and small target detection method is used for infrared weak and small target detection, and belongs to the field of original infrared image processing and target detection. Background technique [0002] With the advancement of science and technology, imaging weapon systems are valued and developed by more and more countries, and are used in many aspects, such as: missile early warning, missile interception, fire control system, post-disaster monitoring system, etc. characteristics of the work, favored in imaging weapon systems. Imaging weapon systems usually use infrared long-distance detection. Therefore, the detected targets often have the characteristics of small imaging area, weak radiation energy, blurred target edges, and low signal-to-noise ratio. It is difficult to accurately detect them. The current infrared faint target detection includes: detect before tracking (DBT), track before detecting (TBD), an...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/20G06V2201/07
Inventor 彭真明刘对虹张鹏飞胡峻崧龙鸿峰魏月露王俊杨春平蒲恬
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA