A Real-time Detection Method of Point Target Based on Single Frame Infrared Image

Abstract

The invention relates to a single-frame infrared image based real-time detection method of a point target, which handles each pixel through the steps that: (1) whether a pixel is the maximum point in an adjacent area or not is judged by comparing the gray between the pixel and other pixels in the 3*3 adjacent area; (2) the average gray value of a 3*3 adjacent area which takes the pixel as the central pixel is calculated; the proportion of the difference between the gray value of the central pixel and the average gray value, in the average gray value filter of the sum of the differences between the all pixels with the gray values being more than the average gray value and the average gray value, is calculated, the determination result of the point is set to be 1, and otherwise, the determination result of the point is set to be 0; (3) the proportion of the pixel in four directions is respectively calculated; if the proportion in each direction is more than a set edge detection proportion threshold, the determination result of the point is set to be 1, and otherwise, the determination result of the point is set to be 0; and (4) the determination results of Step (2) and Step (3) are summated as the value of the point in a final binarization value.

Description

technical field [0001] The invention belongs to the technical field of infrared imaging detection systems, and in particular relates to a real-time detection method of a point target based on a single-frame infrared image. Background technique [0002] In recent years, people have developed a variety of target detection systems, such as: pulse Doppler radar, phased array radar, infrared imaging and so on. Among these target detection systems, the infrared imaging detection system deals with multi-dimensional signals (two-dimensional space signals and one-dimensional time signals) and is a passive detection technology, so compared with other types of detection systems It has the advantages of good concealment, strong anti-interference ability, and high tracking accuracy. Moreover, the infrared target detection system has become one of the most promising imaging detection systems because of its all-weather working characteristics. [0003] From the late 1970s, foreign scholar...

AI Technical Summary

Problems solved by technology

[0019] (1) The single-frame detection result is used as the input of subsequent target capture processing, and the high false alarm rate will lead to explosive combinations in subsequent target capture processing, which greatly increases the difficulty of subsequent processing;

[0020] (2) In some cases, the single-frame detection results need to be forwarded and transmitted through the wireless communication link. The high false alarm rate will increase the transmission bandwidth and increase the difficulty of transmission.

[0025] (3) The random interference of the external environment and the imperfection of the thermal imaging system bring a variety of noises to the infrared image, such as thermal noise, shot noise, 1 / f noise, photon electronic fluctuation noise, etc.

[0027] (1) Since the intensity of infrared radiation is inversely proportional to the square of the distance, in the case of a long distance, the signal strength of the target received by the detector is very weak, that is, the signal-to-noise ratio of the image is very low;

[0028] (2) Due to the long detection distance, large space search range, and limited sensor resolution, the target image is dotted on the image, and there is no shape information available. The basis for distinguishing the target from noise is only the grayscale feature of the target;

[0029] (3) The background is complex and there is strong interference;

[0030] (4) The search space is large, and a large amount of data needs to be processed to detect the target correctly

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