Fitting centroid sub-pixel positioning method based on correlation method threshold iteration

A sub-pixel positioning and threshold iteration technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of low centroid repeatability and different grayscale distribution, achieve good practical application value and improve positioning accuracy. , Improve the effect of anti-interference

Active Publication Date: 2022-05-31
SHANXI ZHIDIAN TECH CO LTD
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AI Technical Summary

Problems solved by technology

For the centroid method with threshold, for different images taken multiple times in the same scene, the calculated thresholds are not much different, but the gray distribution will be different, and the calculated centroid repeatability accuracy is not high

Method used

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  • Fitting centroid sub-pixel positioning method based on correlation method threshold iteration
  • Fitting centroid sub-pixel positioning method based on correlation method threshold iteration
  • Fitting centroid sub-pixel positioning method based on correlation method threshold iteration

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Embodiment Construction

[0050] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0051] A fitting centroid sub-pixel localization method based on correlation method threshold iteration, comprising the following steps:

[0052] Step (1), obtain a test image: fix the camera, light up the LED light, and adjust the exposure so that the LED image obtained by shooting is an unsaturated image.

[0053] Step (2), extracting the spot area in the image; using methods similar to morphology, target shape screening or threshold segmentation, etc., to obtain the target spot area in the image.

[0054] Step (3), calculate the initial threshold

[0055] The effective spot area obtained in step (2) contains 5 × 5 pixels, and this part of the area contains background noise and the real spot distribution. Including all of them into the calculation will affect the accuracy. Set the threshold to eliminate the background noise and reduce the...

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Abstract

The invention discloses a fitting centroid sub-pixel positioning method based on correlation method threshold iteration. On the basis of analyzing an existing method, a paraboloid fitting curved surface based on a threshold value is adopted, the calculation efficiency is improved while background noise is removed, and the anti-interference performance of an algorithm is improved; and the fitted paraboloid is combined with the correlation coefficient, and the positioning precision of the centroid is remarkably improved through a method of updating an iteration threshold value. According to the invention, the positioning precision of the center of mass reaches 0.01 pixel.

Description

technical field [0001] The invention belongs to the cross technical field of computer vision and digital image processing, and relates to an image spot centroid location method in visual measurement, spacecraft attitude measurement and the like, in particular to a fitting centroid sub-pixel location method based on correlation method threshold iteration. Background technique [0002] In the fields of vision measurement, spacecraft attitude measurement, etc., the positioning accuracy of the image spot is an important factor affecting the measurement accuracy of the entire system. Affected by the optical system and the CCD manufacturing process, the image resolution cannot be increased indefinitely. There are limitations to improving the pixel resolution and further improving the positioning accuracy through hardware methods. It is an effective method to subdivide the spot pixels by the method of image processing design software. [0003] At present, the sub-pixel localizatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06F17/10G06T5/00G06T7/136
CPCG06T7/0002G06T7/136G06F17/10G06T5/002G06T2207/20021
Inventor 张敏
Owner SHANXI ZHIDIAN TECH CO LTD
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