Simple curve smoothening method based on secondary B-spline curve

Abstract

A simple curve smoothening method based on secondary B-spline curves belongs to the computer auxiliary design and image processing technology field. The method comprises the following steps: conducting binarization on an image, changing curves existing in the image into single-pixel curves through refinement, conducting interval sampling from a starting point to an ending point on each curve Vi in the image, removing points that do not belong to sampling points from the curves Vi to obtain new curves Vi, circularly selecting three points each time as control points for each new curve Vi to draw a secondary B-spline curve, and smoothening the curves that are not smooth in the image. According to the method, the curves in the image can be smoothened, unsmooth curves in the image can effectively become smooth, the smoothened curves have no defect compared with the original curves and will not considerably deviate from the actual curves, and the smooth degree of the curves can be regulated and controlled through automatic interval adjustment.

Description

technical field [0001] The invention relates to the technical fields of computer-aided design and image processing, in particular to a simple curve smoothing method based on quadratic B-spline curves for smoothing rough curves in images. Background technique [0002] With the continuous development of modern industry and computer technology, in order to meet the needs of processing tasks such as laser cutting, we often need to obtain the precise outer edge contour of the object. Usually, the edge contour extracted directly by edge detection is not smooth, which deviates from the actual edge contour of the object. These rough curves can be smoothed by curve smoothing technology, which is closer to the real edge contour of the object. [0003] There are currently many methods for smoothing curves, wherein the closer technical scheme with the present invention is: literature (Zhou Yan, Wang Zuxi, Li Dehua. Based on the curve adaptive smoothing algorithm of the arc length param...

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Problems solved by technology

[0004] To sum up, the current curve smoothing methods have the following deficiencies: (1) The algorithm is complex, the steps are cumbersome, and the calculation is difficult; (2) Using a given list of points to generate a smooth curve cannot be directly applied to the non-smooth curve. Smooth operation; (3) The scope of application is limited

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