Single-point noise resistant method and device for positioning light spot center

Abstract

The invention discloses a single-point noise resistant method for positioning the light spot center, which comprises the following steps of: comparing the gray value of each pixel of a light spot image to a preset threshold value; marking the pixel determined to be lower than the threshold value as a background pixel; for the pixel determined to be higher than the threshold value, judging if the adjacent pixel thereof is the background pixel; if yes, marking the present pixel as a noise pixel; if not, marking the present light spot pixel according to the mark of the pixel adjacent to the present pixel; according to the mark of the adjacent pixel, performing center-of-mass parameter set value accumulation and storage on the light spot pixel, and performing no center-of-mass parameter set value accumulation and storage on the real noise pixel; and when determining that each pixel is marked, calculating the center-of-mass coordinate of each light spot according to the final accumulated value of the center-of-mass parameter set of the light spot. The invention also discloses a single-point noise resistant device for positioning the light spot center. By using the method and device, the noise point is removed while the light spot center is extracted, the data storage space is saved, and the light spot center is extracted in real time.

Description

technical field [0001] The invention relates to image processing technology, in particular to a spot center positioning method and device against single point noise. Background technique [0002] The spot image is common image information in existing image processing, and the center of the spot is an important feature of the spot image. Spot center is widely used in target tracking in machine vision, feature point extraction in pattern recognition, positioning of laser spot center in laser measurement and communication, and star point positioning of star sensors and sun sensors in attitude measurement components in aerospace applications Sun spot positioning, etc. [0003] In practical applications, the captured spot images often contain noise points. These noise points are mainly caused by the pattern noise of the image sensor, usually appearing as discrete single-pixel points, and the gray value of the noise is large, which cannot be removed by thresholding. . The longe...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, it is impossible to directly locate the spot center of the spot image containing noise points. One method is: first preprocess the image by filtering to remove the noise points, and then perform center positioning on the image spot. In this way, there is no doubt that It is necessary to increase the large data storage space to save the preprocessed image; moreover, because the spot image needs to be preprocessed in advance, the real-time extraction of the center of the spot cannot be realized, thereby affecting the processing speed of the spot image; The image is preprocessed, and the preprocessing operation usually needs to be implemented in a PC or ARM processor, which cannot meet the integration and miniaturization requirements of the device

[0005] Another spot center positioning method is: first treat the noise point as a single pixel spot, and then remove the noise point according to the total number of pixels of the spot. The specific implementation process of this method can be found in the patent No. ZL200610161802.6 and patent The two patents No. 03105743.6 treat the noise as light spots first, so it is necessary to reserve the storage space required for the maximum light spot: there are 6 real light spots in the image, and 5 noise points, and the maximum light spot requires The parameter storage space is 12 bytes, then, the required storage space when processing this image is then (6+5)×12=132 bytes, so this method will require more images with single-point noise large storage space

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