Method for detecting infrared puniness target

Abstract

The invention discloses a detecting method of infrared weak and small objects. The method is characterized in that the method comprises the following steps: (1) an extended LBP operator matrix block with the size of 9*9 pixels is established and the 3*3 matrix block in the middle of the LBP operator matrix block is taken as a target area and 3*3 matrix blocks around the target area are taken as background areas in eight directions; (2) local signal-to-noise ratio is adopted as thresholds for carrying out coding on the background areas in the eight directions, thus obtaining binary system characteristic value of the background areas in the eight directions; (3) when the characteristic value is in accordance with judging standards, the 3*3 matrix block in the middle is taken as the target. The method has the advantages of improving the size and coding standards of traditional local dyadic mode operator, thus leading the method to be applicable to describing gray scale distribution of the infrared weak and small objects under the condition of complex backgrounds; a gray scale self-adapting quick-scan mechanism is provided for effectively improving the detecting speed and inhibiting repeat alarming.

Description

technical field [0001] The invention relates to a target detection method, in particular to a fast infrared weak and small target detection method based on a binary pattern operator without background suppression filtering. Background technique [0002] The infrared search / tracking system (IRST) is an important supplement, auxiliary detection method and concealed detection force of my country's early warning detection network. Compared with the radar system, the infrared system uses passive detection, which has the advantages of good concealment, no multi-path interference, and high tracking accuracy. Long-distance infrared targets often appear in the form of weak and small targets in the field of view. Weak and small targets occupy a small number of pixels on the image plane and generally have low contrast. Stable and effective detection of weak and small targets is the key to the IRST system sexual technology. Therefore, the detection of infrared dim and small targets ha...

AI Technical Summary

Problems solved by technology

In addition, many background suppression algorithms will change the nature of the image, such as the weakening of the target intensity, the shift of the position of the brightest point of the target, etc.

This will increase the difficulty of subsequent detection and increase the amount of judgment calculation, which will affect the accuracy of detection.

Images