Canny edge detection dual threshold acquiring method based on chord line tangent method

A technology of edge detection and acquisition methods, applied in image data processing, instruments, calculations, etc.

Inactive Publication Date: 2013-03-20
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] In order to solve the problem of self-adaptive determination of double thresholds in the Canny image edge detection meth

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  • Canny edge detection dual threshold acquiring method based on chord line tangent method
  • Canny edge detection dual threshold acquiring method based on chord line tangent method
  • Canny edge detection dual threshold acquiring method based on chord line tangent method

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Embodiment Construction

[0048] In order to better illustrate the purpose and advantages of the present invention, a kind of adaptive Canny image edge detector based on the gray gradient magnitude histogram chord tangent method and the edge detection results of several actual images are further described below.

[0049] An adaptive Canny image edge detector based on the chord tangent method of the gray gradient amplitude histogram, its structure is as follows figure 2 As shown, it includes a gray gradient calculation module, a gradient non-maximum suppression module, a high and low threshold adaptive determination module, a gradient amplitude double threshold processing module and an edge tracking connection module. The gray-scale image is acquired and converted by the camera, and the gray-scale image enters the gray-scale gradient calculation module. After obtaining the gray-scale gradient amplitude, it is respectively input into the gradient non-maximum value suppression module and the high and low ...

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Abstract

The invention relates to a canny edge detection dual threshold acquiring method based on a chord line tangent method and belongs to the technical field of the digital image processing. The canny edge detection dual threshold acquiring method based on the chord line tangent method comprises only operations of add, subtract, multiply, divide and comparison and facilitates fast confirmation of a threshold. Compared with a histogram non-curve fitting method and method adopting local features, such as a histogram extreme point and a zero crossing point, the canny edge detection dual threshold acquiring method based on the chord line tangent method acquires the threshold by using a long chord line and a short chord line which can represents a integral shape feature of the histogram and are stable based on the integral shape feature of the histogram and stability and reliability of threshold acquiring are guaranteed. Meanwhile, influence to the threshold determination by different class numbers of the histograms is eliminated by adopting a mean value of a plurality of thresholds acquired from different class numbers of the histograms and the stability and the reliability of threshold acquiring are further improved. The canny edge detection dual threshold acquiring method based on the chord line tangent method has the advantages of being fast, stable and self-adaptable and facilitating the further widespread use of a canny edge image edge detection method.

Description

technical field [0001] The invention relates to a dual-threshold acquisition method for Canny edge detection based on a chord tangent method, belonging to the technical field of digital image processing. Background technique [0002] The edge of the image is the boundary of different regions in the image, and it is the place where the gray level of the image changes significantly. It is the basic feature of the image, representing the surface texture of the object in the image, the outline of the object and other important features. Image edge detection is one of the most basic and important digital image processing technologies. It is the basis of various advanced image processing technologies based on edge features, such as object shape detection, workpiece size measurement, object recognition and feature matching, etc. [0003] Canny image edge detector is one of the most advanced and excellent algorithms among many edge feature extraction algorithms. It is an approxima...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 刘向东余银刘冰陈振
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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