Weighted constraint-based star atlas segmentation method

A weighted constraint and star map technology, applied in the field of image processing, can solve the problems of segmentation threshold deviation, the entire star map cannot be effectively segmented, and the histogram does not have a bimodal shape, so as to improve the processing speed.

Inactive Publication Date: 2012-06-20
ZHEJIANG UNIV
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Problems solved by technology

[0009] However, in the process of actual star map processing, it is found that the thresholds obtained by the above two methods cannot effectively segment the star map, and the number of star points obtained by segmentation often does not meet the requirements.
The main disadvantage of the threshold method based on iterative optimization is its scope of application. This method is essentially a global threshold method. In the case of too weak star p

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  • Weighted constraint-based star atlas segmentation method
  • Weighted constraint-based star atlas segmentation method
  • Weighted constraint-based star atlas segmentation method

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[0037] In order to describe the present invention more specifically, the star map segmentation method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] Such as figure 1 As shown, a star map segmentation method based on weighted constraints includes the following steps:

[0039] (1) Initialize the segmentation threshold.

[0040] In this embodiment, the actually shot star map of Vega in the Lyra constellation is used as the segmentation processing object, and the size of the star map is 1280×1024 pixels.

[0041] Obtain the maximum gray value and minimum gray value of the pixel in the star map, and calculate the initial segmentation threshold according to the following formula;

[0042] T 0 = P max + P min ...

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Abstract

The invention discloses a weighted constraint-based star atlas segmentation method, which comprises the following steps of: (1) initializing a segmentation threshold; (2) optimizing an iterative segmentation threshold; (3) weighting the iterative segmentation threshold; and (4) segmenting a star atlas. According to the weighted constraint-based star atlas segmentation method, an optimized iterative algorithm and a weighted iterative algorithm are combined, an ideal segmentation threshold for the star atlas is obtained by adding constraint conditions in a weighting iterative process and using the autonomous adjustments and changes of two weighted factors, then, the star atlas is segmented, and star point targets in a perspective atlas obtained by segmenting can meet the practical requirements on the number of star points; and the weighted constraint-based star atlas segmentation method can effectively eliminate the influence on the identification and location of the star points caused by noises and a background, and the processing speed for the location of the star atlas is greatly increased under the premise that the accuracy in the extraction of the center of mass of following star points is ensured.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a star map segmentation method based on weighted constraints. Background technique [0002] After the original star map is obtained by the star sensor, extracting the position and brightness information of the target star point is a prerequisite for space science observations using star information, such as star map matching of star sensors, space-based optical space target monitoring information processing, etc. The star map positioning and recognition algorithm is the key technology in star map processing. Star map positioning is generally divided into star map preprocessing, star point target recognition, star point centroid extraction and other steps. [0003] Star map preprocessing is to filter and denoise the star map. The recognition of star-point objects consists of two stages: (1) separating the star-point objects from the background (ie, star map ...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李奇许威徐之海冯华君
Owner ZHEJIANG UNIV
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