Star image distortion detection and estimation method based on star map matching

A technology of image distortion and star map, applied in the field of detection and estimation of starry sky image distortion, can solve the problem of low detection accuracy

Active Publication Date: 2013-12-11
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing detection methods in the case of low detection accuracy when the image is aff

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Star image distortion detection and estimation method based on star map matching
  • Star image distortion detection and estimation method based on star map matching
  • Star image distortion detection and estimation method based on star map matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0090] The specific steps of the star image distortion detection and estimation method based on star map matching of the present invention are as follows:

[0091] 1. Image star point coordinate extraction.

[0092] Extract the star points in the starry sky image, and calculate the coordinates of the star points on the image. The process includes using a threshold to binarize the starry sky image, that is, according to whether the pixel value is greater than the threshold ε bw For segmentation, the gray value of the pixel at the image (x, y) is I(x, y), and the gray value of the pixel in the image is I(x, y) ≥ ε bw is divided into star spot area, and I(x, y)bw The pixels are divided into background regions. Segmentation threshold obtained by robust statistics on star map data

[0093] ε bw =μ+δσ

[0094] Among them, μ is the median value of the image gray level, σ is the average absolute deviation of the image, and δ is the threshold parameter, which is taken as δ=6 in th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a star image distortion detection and estimation method based on star map matching. The method is used for solving the technical problem that an existing detection method is low in detection precision under the condition that an image is influenced by distortion. According to the technical scheme, a known star catalogue, a known imaging system parameter and known imaging system orientation are utilized to match star points in an image and star points in the star catalogue, and camera rotation, and camera translation and camera distortion possibly existing in the image are detected and estimated. Due to the fact that the influence caused by the distortion to the star points, the shifting and rotation caused by inaccurate orientation and camera lens translation and rotation to the star points in the image and estimating difficulty caused by the combined action of the translation, the rotation and the distortion are considered, rectification is carried out on the star points in the star image and the star points in the star catalogue by utilizing a longest LCS star point rectification method improved based on a distortion model, wrong matched exterior points possibly existing in a matched point-pair set are removed, the relative rotating translation relation is estimated, and the distortion between a star map and a star target is accordingly estimated. Detection accuracy is improved.

Description

technical field [0001] The invention relates to a method for detecting and estimating distortion of a starry sky image, in particular to a method for detecting and estimating the distortion of a starry sky image based on star map matching. Background technique [0002] The paper "Distortion Correction of Small Field of View Space Image Based on Star Map Matching [J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 09: 1016-1019." proposes a small field of view space image distortion correction method based on star map matching. This method matches star points in multi-frame space images based on the Hausdorff distance, and introduces compensation for pointing deviation through the error term. This method corrects the global by the deviation between matching points. But since this method is mainly aimed at small field of view images with few star points in the field of view, the Hausdorff distance is used for the applicable star point matching, and the d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00
Inventor 张艳宁巩东孙瑾秋李海森丁王斌黄建余惠建江
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products