Image-correlation-evaluation-based method for determining image segmentation threshold

An image segmentation and correlation technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of ineffective light point segmentation and affecting the normal measurement of CCD optical imaging sensors, and meet the requirements of measurement tasks. Robust, high refresh rate effects

Active Publication Date: 2012-07-18
BEIJING INST OF CONTROL ENG
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Problems solved by technology

[0004] Existing methods mainly use fixed thresholds (such as adding three times the variance to the image background, etc., for details, see M.Sezgin and B.Sankur, Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, pp.146-156, 2003) perform threshold segmentation on the image. In the complex background image, these methods cannot separate the effective light point from the background image, thus affecting the normal measurement of the CCD optical imaging sensor

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  • Image-correlation-evaluation-based method for determining image segmentation threshold
  • Image-correlation-evaluation-based method for determining image segmentation threshold
  • Image-correlation-evaluation-based method for determining image segmentation threshold

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[0018] like figure 1 As shown, it is a block diagram of the method of the present invention. After the integral image of the CCD head is input, the main steps of image threshold determination are as follows:

[0019] 1. Statistical evaluation of image gray level

[0020] The gray scale of all pixels of the light point signal should be greater than a certain threshold value. The noise maximum determined from the histogram of the noise distribution is used as the threshold. First, select several pixels in the image of a specific area evenly and discretely according to the sampling interval, count the number of pixels in each gray level, and calculate the background mean value of the image and the proportion of the number of pixels in each gray level in the image. .

[0021] Let the number of pixels of each gray level be: S 0 , S 1 , S 2 ,...,S 255 .

[0022] 2. Image correlation analysis

[0023] Traverse each gray level from the minimum gray level to the maximum gray l...

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Abstract

The invention provides an image-correlation-evaluation-based method for determining an image segmentation threshold. On the basis of an imaging theory, a signal processing theory and other traditional theories, correlations between image effective spots and background light and stray light are considered, namely the covariance (between-class variance) between an effective spot part image and a background stray light image is analyzed, wherein the maximum coefficient of the covariance refers to the minimum correlation between the effective spot part image and the background stray light image, and the threshold segmentation is best in the state, so the background light, the stray light and the effective light source image can be separated. The method can effectively inhibit the interferenceof the stray light to the effective spots, and the spots are accurately extracted.

Description

technical field [0001] The invention relates to an image processing method of an optical imaging sensor for space rendezvous and docking under complex backgrounds. Background technique [0002] With the increasing number and types of space missions, especially the development of the space station, the spacecraft rendezvous technology has made great progress. The CCD optical imaging sensor is used as a close-range optical measurement device for the rendezvous and docking of the tracker and the target aircraft, and its imaging quality has a great influence on the successful rendezvous and docking of the spacecraft. [0003] According to the requirements of the rendezvous and docking mission, the target marker is usually fixedly installed in a predetermined measurement area on the target aircraft in a certain way. The CCD optical imaging sensor images the measurement area, and extracts and recognizes the light points of the acquired image, calculates and outputs the relative p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 郭绍刚赵春晖刘鲁龚德铸高进高文文王艳宝王京海张丽华魏高乐
Owner BEIJING INST OF CONTROL ENG
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