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Circle detection method based on data stationarity

A technology of circle detection and stationarity, which is applied in the field of circle detection based on data stationarity, can solve the problems of large memory occupation, low algorithm accuracy, and low real-time performance of the circle detection method, achieving small memory occupation, high real-time performance, The effect of high accuracy

Inactive Publication Date: 2016-03-16
SOUTHEAST UNIV
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the existing circle detection method either takes up a large amount of memory, has a large amount of calculation, and has low real-time performance; or may cause a large amount of invalid accumulation, and the accuracy of the algorithm is low

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  • Circle detection method based on data stationarity
  • Circle detection method based on data stationarity
  • Circle detection method based on data stationarity

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[0016] In order to illustrate the technical capability of the present invention more clearly, specific examples are given and described in conjunction with the accompanying drawings.

[0017] figure 1 It is a flow chart of the present invention, the image is subjected to an image preprocessing flow to obtain an arc profile with a single pixel width; then the arc profile with a single pixel width is used for feature region determination, specifically, the single pixel width is used Any three points on the contour of the arc determine the theoretical center of the circle, and then take the theoretical center as the center to give the fluctuation range of the possible center of the circle; then, calculate the characteristic quantity within the range of the possible circle center, specifically involving the distance matrix and the variance matrix; Finally, the exact position and radius of the circle center are determined by the knowledge of the properties of the circle and the sta...

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Abstract

The invention provides a circle detection method based on data stationarity. The method comprises the following steps of step1, through image preprocessing, acquiring an arc contour of a single pixel width; step2, using three different points on the arc contour of the single pixel width to determine a position of a theory circle center; step3, calculating distance data from each possible circle center to each pixel point on the arc contour of the single pixel width; step4, searching an actual circle center and an actual radius, wherein after the actual circle center is acquired, a mean value of the distance data corresponding to the actual circle is a radius of the circle. By using the method, an occupation memory is less and a calculated amount is less too; and real-time performance and algorithmic accuracy are high.

Description

technical field [0001] The invention belongs to the field of image analysis and recognition, and in particular relates to a circle detection method based on data stationarity. technical background [0002] With the continuous development of artificial intelligence, its requirements for the accuracy and real-time performance of image recognition are getting higher and higher. Whether it is in the military, industrial sites or daily life, many objects exist in circles. In order to realize the positioning of circular objects , to facilitate the grasping of the manipulator, it is very necessary to detect the position and size parameters of the circle effectively and in real time. [0003] Common circle detection methods include classical Hough transform circle detection method and random Hough transform circle detection method. Hough transform is an image edge detection technology proposed by Paul Hough in 1962, which can detect any analytical curve in the image space. The out...

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Application Information

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IPC IPC(8): G06T7/00G06T7/60
CPCG06T7/0004G06T2207/10004G06T2207/30164
Inventor 帅立国魏有莹陈慧玲刘金肖
Owner SOUTHEAST UNIV
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