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An infrared imaging river channel detection method based on neighborhood intensity texture coding

A texture coding and infrared imaging technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low detection accuracy and blurred detection results

Active Publication Date: 2019-06-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is: in order to solve the problem that the current infrared imaging technology is difficult to accurately detect the river in the infrared image, the detection accuracy is low, and the detection result is blurred, the present invention provides an infrared imaging river detection method based on neighborhood intensity texture coding

Method used

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  • An infrared imaging river channel detection method based on neighborhood intensity texture coding
  • An infrared imaging river channel detection method based on neighborhood intensity texture coding
  • An infrared imaging river channel detection method based on neighborhood intensity texture coding

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Embodiment 1

[0077] Such as figure 1 As shown, this embodiment provides an infrared imaging river channel detection method based on neighborhood intensity texture coding, including the following steps:

[0078] S1: Acquisition and input of infrared images containing river I 1 ,Such as figure 2 shown;

[0079] S2: To infrared image I 1 Neighborhood intensity texture coding is performed to obtain the texture image I 2 ,Such as image 3 As shown, it specifically includes the following steps:

[0080] S2.1: Determine the neighborhood and number of the encoded pixel:

[0081] Set infrared image I 1 The size is M×N, and the encoded pixel I 1 (u,v) is G c , where u=2,3,...,M-1, v=2,3,...,N-1; for the encoded pixel G c The surrounding 3×3 neighborhoods are numbered, and the numbering rule is: the pixel G to be encoded c The number of adjacent pixels on the right is G 1 , then with G 1 As the starting point, the adjacent pixels are numbered as G in the clockwise direction 2 , G 3 , ...

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Abstract

The invention discloses an infrared imaging river channel detection method based on neighborhood intensity texture coding. The invention relates to the technical field of infrared image processing. The method comprises the following steps of: performing texture coding on an input image by using a neighborhood intensity coding method; generating a texture image, roughly determining coordinates of asuspected point region based on local probability distribution, generating a preliminary detection result by using region growth, neighborhood statistical denoising and other methods, detecting a connected region of the preliminary detection result, taking gradient features of the input image, and performing region growth to finally obtain a detection result. According to the method, the problemsthat the riverway is difficult to accurately detect, the detection precision is low and the detection result is fuzzy in the existing infrared imaging technology are solved, and the method has the advantage of accurately aggregating the false alarm source pixel region.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, and more specifically relates to an infrared imaging channel detection method based on neighborhood intensity texture coding. Background technique [0002] The role and status of infrared search and track (IRST) system in modern air defense is becoming more and more important. The purpose of using IRST system requires the system to be able to find targets as soon as possible. The system has high sensitivity, high detection rate, long detection distance, field of view Great advantages. However, while ensuring a high detection probability, the inevitable false alarm probability may also increase. The possible false alarm sources of an IRST system include river channels, clouds, the moon, and fire sources. False alarm sources have similarities with targets in infrared radiation energy, and are easily misjudged as targets. A variety of false alarm sources make the infrared detecti...

Claims

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Application Information

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IPC IPC(8): G06T7/136G06T5/40G06T5/20G01V8/10
CPCY02A90/30
Inventor 曹兆洋彭真明刘雨菡曹思颖宋立彭凌冰黄苏琦张鹏飞吕昱霄张兰丹杨春平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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