Curve identification method based on Bezier control point searching and apparatus thereof
An identification method and control point technology, applied in the field of image processing, can solve the problems of unable to identify the image curve in real time, unable to identify the broken curve, unable to accurately identify the curve to be detected, etc.
Active Publication Date: 2014-01-22
NETPOSA TECH
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Problems solved by technology
[0003] Traditional curve tracking technology has the following problems: 1) Sensitive to noisy images; 2) Sensitive to images with background interference; 3) Unable to accurately identify crossing curves; 4) Unable to identify broken curves; 5) For image changes In some cases, the curve to be detected cannot be accurately identified; 6) The curve existing in the image cannot be identified in real time; 7) Once the curve is detected incorrectly, there is no automatic correction mechanism to identify the curve
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[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.
[0058] figure 1 A flow chart showing the curve identification method based on Bezier control point search according to the present invention. Such as figure 1 Shown, according to the curve recognition method based on Bezier control point search of the present invention comprises:
[0059] The first step 101 is to perform Gaussian smoothing processing, Hessian calculation and Hessian image thinning operation on the current image to obtain a Hessian thinned image;
[0060] In the second step 102, the user marks three control points on the video image according to the actual curve position;
[0061] In the third step 103, according to the three control points, the Bezier curve is obtained by using the Bezier curve modeling method;
[0062] The fou...
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Provided in the invention is a curve identification method based on Bezier control point searching. The method comprises the following steps that: gaussian smoothing processing, Hessian calculation, and Hessian image thinning processing are carried out on a current image to obtain a Hessian thinning image; according to an actual curve position, a user calibrates three control points on a video image; according to the three control points, a Bezier curve construction model is employed to obtain a Bezier curve; and according to the Bezier curve and the three control points, a detection curve on the Hessian thinning image is obtained and is output. According to the invention, detection on a curve inside a video image can be realized.
Description
technical field [0001] The invention relates to image processing, in particular to a curve recognition method and device. Background technique [0002] Blood vessel detection, palmprint detection, cell detection in the medical field, high-voltage transmission line detection in the electric power field, etc., all of the above fields need to be applied to the curve tracking technology, so the research of the curve tracking technology is of great significance. [0003] Traditional curve tracking technology has the following problems: 1) Sensitive to noisy images; 2) Sensitive to images with background interference; 3) Unable to accurately identify crossing curves; 4) Unable to identify broken curves; 5) For image changes In some cases, the curve to be detected cannot be accurately identified; 6) The curve existing in the image cannot be identified in real time; 7) Once the curve is detected incorrectly, there is no automatic correction mechanism to identify the curve. [0004]...
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IPC IPC(8): G06K9/30G06K9/46G06V30/144
Inventor 李党
Owner NETPOSA TECH