37 results about "Stars" patented technology

The present invention provides a method for star point extracting of a navigational star in cloud environment in daytime, and the method comprises firstly, respectively performing the following operation on each frame of star map of a plurality of frames of daytime cloud star maps which are consecutively taken: (1) using an improved morphological TopHat operator to filter an original start map to obtain a first star map; (2) using a RobinsonGuard filter to filter the first star map to obtain a second star map; (3) using an adaptive threshold method for threshold cutting of the second star map, and storing coordinates and grayscales of all pixels higher than a threshold; and (4) using a clustering method for four-connected domain star point extracting; secondly using a multiframe comparison technique to eliminate pseudo-star points in the connected domain extracted from each frame of star map; and thirdly, calculating the centre of mass of each successfully-compared connected domain to complete the star point extraction. The method can effectively eliminate the interference of daytime sky clouds and other backgrounds, meanwhile avoids mistaken extraction caused by dust and other air floating objects, and ensures the effective and stable star point extraction.

The embodiment of the invention discloses a starry sky image processing method and device. The method comprises the following steps: acquiring a shot image; wherein the shot images are multiple framesof continuously shot images; under the condition that the reference image in the shot image is a starry sky image, obtaining a star map corresponding to the shooting time and the positioning place ofthe reference image; determining a star map area corresponding to the reference image on the star map; and adjusting the gray scale of the stars in the shot image according to the gray scale values of the stars in the star map area. By utilizing the embodiment of the invention, the problems of poor starry sky image imaging effect and difficulty in image processing can be solved.

The invention discloses a star sensor artificial star screening method based on angular distance screening. The method comprises the following steps: (1) all star points in a first frame of a star mapare recorded as initial star points; (2) starting from a second frame, corresponding relations between each star point and the initial star points are established by utilizing a star tracking method;(3) the angular distances between other frames and the initial frame are compared, the angular distances are screened according to angular distance changes, and an angular distance screening matrix is updated; (4) star pairs corresponding to the screened angular distances are used to vote for each star point, and the star points with the excessively low vote numbers are screened; and (5) each frame is output by the screened star points and is sent to a subsequent star map recognition module. The method has the following advantages: (1) the convergence success rate is high, and the convergencesuccess rate is over 98% within 600 artificial stars; (2) the convergence speed is high, and all the artificial stars can be screened by only at most 10 frames of the star map on average; (3) the adaptability to the number of the artificial satellites is high, and all the artificial stars can be screened from the star map with no less than 700 artificial stars; and (4) the screening of the artificial stars does not depend on shape information of the star points.

The invention discloses a shooting method and device and electronic equipment, and belongs to the technical field of camera shooting. The shooting method comprises the following steps: acquiring a first preview image displayed on a shooting preview interface; under the condition that the first preview image comprises all first stars, drawing the first stars on the first preview image based on a standard star image corresponding to the first stars to obtain a target star image; and under the condition that the first preview image comprises a part of a first star body, complementing the first star body on the first preview image based on a standard star image corresponding to the first star body to obtain a target star body image.

The invention discloses a quick all-sky-domain star map recognition method and system robust to noisy points. The star map recognition method comprises the following steps of: S1, selecting a to-be-recognized primary star in a star map; S2, constructing a neighbor satellite candidate set; S3, obtaining a preprocessed star map; S4, acquiring a distance mask mode of the preprocessed star map; S5, calculating initial similarity, and screening out candidate templates used for matching; S6, calculating the comprehensive similarity of the candidate templates; and S7, outputting a final identification result. According to the method, star map recognition is carried out, the problem that a large number of star points in a field of view are transformed out of the field of view after decentralization in a traditional method can be relieved, and the number of available fixed stars is increased; the problem of subsequent matching errors caused by high neighbor point selection error rate of a traditional method is relieved; meanwhile, the robustness of the method is very high under the condition that noisy points such as missing stars or pseudo stars exist; and in addition, non-iterative verification is adopted, and additional star point recognition does not need to be introduced for confirmation, so that the method is quicker and more effective.

The invention discloses a small-field-of-view star sensor star map identification method and device based on attitude information assistance, the attitude information provided by a navigation system is used for calculating the attitude of a star sensor at the current moment, fixed stars in a celestial sphere area near to which an optical axis points are selected as candidate stars, and the star map of the star sensor is identified by using the obtained candidate star prior information. And a star map recognition matching process is carried out in combination with a triangle algorithm, so that the matching redundancy is improved, and the aim of reducing mismatching and multi-matching probabilities is fulfilled.

The invention discloses a star sensor star point segmentation method based on double gradient thresholds. The star sensor star point segmentation method comprises the following steps: acquiring a gray distribution matrix; obtaining a gradient component matrix of the star map according to the gray scale distribution matrix; processing the gradient component matrix to obtain a segmented star map; and solving a union set of segmented star maps obtained from two dimensions of rows and columns to obtain a star map. The method provided by the invention has the effects that the probability of star point false detection in a star map can be effectively reduced by adopting double gradient threshold segmentation; the method for solving the star map gradient through differential processing can effectively improve the detection capability of dark stars under complex background conditions. Meanwhile, branch gradient judgment is utilized, and the capacity of removing noise of the detector is achieved under the condition of high dark star detection capacity; a star point branch compensation method is adopted, gradient judgment is carried out on a star point branch window obtained through double gradient threshold segmentation to compensate for adjacent star point pixels, the star point pixel segmentation integrity of the star sensor is improved, and the precision of a subsequent star point extraction algorithm is improved.

The invention provides a star map recognition method and device based on geometric verification. The method comprises the following steps: acquiring a current to-be-identified star map, wherein the current to-be-identified star map is one of a plurality of star maps acquired by a star sensor; matching the star map to be identified with an observation star map in a pre-established star map database; and in response to successful matching, taking the coordinate corresponding to the matched target observation star map as the coordinate of the star sensor, and determining the position attitude of the aircraft. In this way, the method for determining the attitude of the spacecraft according to the fixed stars captured in the FOV can be simplified, and meanwhile the method has high adaptability to fake stars and missing stars.

The invention discloses a three-view field synthesis star map simulation system and method adopting a double-sided light splitting rectangular prism. The system comprises a point light source, a beam splitter, a collimation system, a star sensor, a first light source, a first star point reticle, a second light source, a second star point reticle and an imaging lens group. A light path of the simulation system comprises a fixed single-star map light path, a first large-field-of-view star map light path and a second large-field-of-view star map light path. According to the actual requirements of the star sensor, the three star maps can be overlapped pairwise or three star maps can be overlapped on the star sensor CCD to form the star simulator with multiple star maps, so that the use function and the calibration precision of the star simulator are expanded, the operation is simple, and the star simulator has very high universality and practicability.

The invention discloses a star finder manufacturing method which comprises the steps of: calculating the average position of each common star in the year; projecting the average position of each common star on two bottom plates respectively by adopting positive-axis azimuthal equidistant projection, and marking a right ascension graduated ring, an equator image, an ecliptic image and a mean sun graduated ring on southern and northern bottom plates; converting horizontal coordinates of each node of a horizontal coordinate net into equatorial coordinates, and protecting the coordinates on a transparent plate to be taken as a transparent coordinate net piece; and marking a minus 6-degree altitude parallel ring and a local mean time graduated ring on the transparent coordinate net piece. By adopting the manufacturing method of a star finder provided by the invention, the manufactured star finder can be used for selecting and recognizing stars by a minus 6-degree altitude line method, a vernal equinox local time angle method and a local mean time method, so that a user who masters different star selecting and recognizing methods can conveniently use the star finder, and more star selecting and recognizing methods can be achieved compared with the star finder manufactured by the traditional method.

The invention discloses an image processing method, a mobile terminal and a storage medium, and the method comprises the steps: obtaining a star trajectory in a to-be-processed image; extracting pixels of the star trajectory, rearranging and storing RGB information of the pixels according to the sequence of gray values corresponding to the pixels from large to small, and storing the center position of the star trajectory; calculating an average RGB value in a neighborhood of a preset size around the star trajectory, and filling an area where the star trajectory is located according to the average RGB value; and generating pixel points according to the stored RGB information, and using the generated pixel points for filling according to the rearrangement sequence, using the center position of the star trajectory as the circle center, using the preset size as the radius, and the distance between the generated pixel points and the circle center being from near to far. Hardware cost and photography skill requirements required by shooting professional starry sky can be reduced, so that common users can also shoot starry sky photos without star tracks.

The invention discloses a star detection method, a mobile terminal and a computer readable storage medium. The star detection method comprises the following steps of determining a candidate star region group from a star sky image, based on neighborhood analysis, determining and removing a first type of abnormal star regions from the candidate star region group, determining a possible abnormal star region group from the new candidate star region group based on morphological processing, determining a second type of abnormal star regions from the possible abnormal star region group based on color analysis, removing a second type of abnormal star regions from the new candidate star region group, and determining a real star area from the remaining candidate star regions. On the basis of neighborhood analysis, morphological processing, color analysis and the like, the abnormal star region is determined and eliminated, so that the reliability of the finally determined real star region is higher, namely, the star region identification accuracy is improved.

The invention discloses a rapid and accurate star recognition method. The method comprises the following steps: 1, installing an electronic star map APP and an AR measurement APP on a mobile phone; 2, aligning an electronic star map APP to a to-be-recognized star in the sky, clicking a star corresponding to the electronic star map APP on the electronic star map APP, and watching an azimuth angle and an elevation angle of the star; and 3, opening an AR measurement app, clicking a gradienter, pasting a star pointing pen on a mobile phone screen, pointing to the to-be-recognizedstar, measuring an elevation angle, enabling the elevation angle to be consistent with the azimuth angle of the to-be-recognized star actually, enabling the to-be-recognized star to be the star pointed in the electronic star map APP undoubtedly, and if two stars with the same elevation angle exist nearby, carrying out azimuth comparison according to the azimuth angles of the two star points on the electronic star map APP, and carrying out distinguishing. According to the invention, the star can be quickly and accurately recognized, the method is simple and convenient to implement, and a beginner without observation experience and even an observer who does not know one star can easily and accurately recognize the star.