Triangular sailboard support frame identification method applicable to space non-cooperative target
A non-cooperative target and identification method technology, which is applied in the field of automatic identification of non-cooperative satellite triangular sailboard brackets, can solve the problems of low autonomy and system instability, and achieve less time-consuming, high positioning accuracy, and anti-corrosion Noise-capable effect
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2014-09-10
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the field of image processing and computer vision, and in particular relates to an automatic recognition method for a non-cooperative satellite triangular sailboard support mounted on a space tether robot visual perception system. Background technique
[0002] The space tethered robot system consists of "space tethered robot + space tether + space platform", which has the characteristics of safety, flexibility, and long operating distance. On-orbit services such as auxiliary assembly of on-orbit space stations have become one of the research hotspots in the field of space manipulation technology. This new type of miniature intelligent robot can approach the target autonomously in space. During the approaching process, the binocular vision measurement system carried by itself is used to detect, identify, track and measure the target in real time. The most critical step is how to quickly and automatically identify the region of...
Examples
Embodiment Construction
[0036] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and do not limit it in any way.
[0037] Such as figure 1 As shown, the triangular area automatic recognition method provided by the embodiment of the present invention includes:
[0038] (1) Image collection: use the camera to collect the target image;
[0039] (2) Image filtering: Perform median filtering and Wiener filtering on the collected images to eliminate noise interference and obtain a smooth target image;
[0040] (3) Edge detection: edge detection is performed on the two images respectively to obtain edge feature information;
[0041] (4) Straight line extraction: adopt directional Hough transform to carry out straight line extraction to the image after edge detection, obtain each straight line information including each straight ...