Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Morphology-based robot star point segmentation method and FPGA realization method

A technology based on morphology and star points, applied in the field of star map processing, can solve the problem of less segmentation research, and achieve the effect of improving the calculation speed, improving the accuracy of the centroid, and reducing the required time.

Inactive Publication Date: 2015-11-11
BEIHANG UNIV
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few studies on the segmentation of star maps under different disturbances

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
  • Morphology-based robot star point segmentation method and FPGA realization method
  • Morphology-based robot star point segmentation method and FPGA realization method
  • Morphology-based robot star point segmentation method and FPGA realization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0031] 1. Algorithm description

[0032] Define two flat square structuring elements, B Mi and B Mo . Let D(B) denote the dimension of the structuring element B, ie the side length of the square structuring element. where D(B Mi )Mo ). Let B M for B Mi and B Mo The square ring edge area between, let d(B M ) is the width of the edge structure element, then B E is a flat square structural element, and D(B Mo )>D(B E ). Define flat structure element B S , where B S The size of is larger than noise and noise, but smaller than the size of the target, that is, D(B S )Mi ). B M ,B S ,B E ,B Mi ,B Mo relationship such as figure 1 shown.

[0033] There are differences between the real star point and the background noise area. The gray level of the star point area fluctuates greatly, and it is a large-sized bright spot. The noise...

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 morphology-based robot star point segmentation method and an FPGA realization method. The method comprises the following steps: utilizing the characteristic keeping dim targets of edge structure elements and the characteristic of suppressing noise through opening operation; defining a new star point segmenting method according to the features of star points and the features of different interferences; carrying out opening operation and novel closing operation on images by using three different structure elements; subtracting the relatively low value of the two operation results by using the novel closing operation; and extracting the star points in an artwork master corresponding to the pixel coordinate where the subtraction result is greater than zero to realize the complete segmentation of the star points. According to the morphology-based robot star point segmentation method and the FPGA realization method, the different types of interferences of the star map can be suppressed and the star points can be extracted, and the correct segmentation of the bright stars and faint stars can be realized so as to improve the centroid precision; and by taking full advantage of FPGA in parallel production line operation system architecture design and by adopting the parallel production line operation system architecture to organize an operation module in a star point segmentation algorithm, the operation speed is greatly improved and the time required by the system processing is shortened.

Description

technical field [0001] The invention relates to the technical field of star map processing, in particular to a morphology-based robust star point segmentation method and an FPGA implementation device. Background technique [0002] The attitude information of the spacecraft plays an important role in astronomical navigation, and the star sensor is an important technical means to measure the attitude of the spacecraft. The working principle of the star sensor is to use the star map captured by the CCD or CMOS camera at a certain moment to extract the position information of the star point in the star map, and find the corresponding match of the observed star in the navigation star library through the star map recognition algorithm. Finally, the three-axis attitude of the star sensor is calculated by using the direction vector information of these matched star pairs, so as to determine the space attitude of the spacecraft. The star map contains star points and different kinds ...

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
CPCG06T2207/20112
Inventor 江洁刘雷张广军
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com