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Sub-pixel edge detection method based on improved morphology

A sub-pixel edge and detection method technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as slow speed, low precision, noise interference, etc., to improve processing speed, ensure connectivity, and improve anti-noise performance Effect

Inactive Publication Date: 2015-06-24
GUANGDONG XIAN JIAOTONG UNIV ACADEMY +1
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AI Technical Summary

Problems solved by technology

This general sub-edge detection is seriously disturbed by noise, and it is easy to detect unnecessary contours. At the same time, it needs to perform convolution operation on each pixel in the image, so the general sub-pixel edge detection method has low precision and slow speed. The problem is not suitable for real-time visual measurement system

Method used

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  • Sub-pixel edge detection method based on improved morphology
  • Sub-pixel edge detection method based on improved morphology
  • Sub-pixel edge detection method based on improved morphology

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Embodiment

[0041] Such as figure 1 As shown in Figure 6, the sub-pixel edge detection method based on improved morphology includes:

[0042] Step A, obtaining the digitized image of the product;

[0043] Step B, using a morphological operator to detect the contour of the digitized image to obtain a rough extraction region of the pixel contour, the expression of which is

[0044]

[0045] Among them, Grad represents the rough extraction area of ​​the pixel outline, f represents the digitized image, S 1 Represents the opening operation structure element, S 2 Indicate dilation and erosion of structural elements;

[0046] Step C, using the Canny operator to detect the outline of the product from the rough extraction area of ​​the pixel outline, and perform rough extraction to obtain the overall pixel-level edge of the image;

[0047] Step D. Fitting the overall pixel-level edge to the sub-pixel-level edge of the product through the Gaussian edge function obtained by convolving the ide...

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Abstract

The invention provides a sub-pixel edge detection method based on improved morphology. The method comprises the steps that a digitized image of a product is obtained; morphology operators are applied for detecting the outline of the digitized image to obtain a pixel outline rough extraction region; Canny operators are adopted for detecting the whole pixel-level edge of the product from the pixel outline rough extraction region; by means of Gaussian edge functions obtained through ideal edge points and diffusion function convolution, the whole pixel-level edge is fitted into a sub-pixel-level edge of the product. According to the method, the edge detection operators of the morphology are improved, the edge of the image outline can be smoothed, edge details are kept better, anti-noise performance is improved, image edge information is kept, the smoothness and the continuity of the edge are kept, the image edge can be detected accurately, the connectivity of an original image is ensured, an image edge extraction region is reduced, and the processing speed is increased.

Description

technical field [0001] The invention relates to the technical field of on-line detection of blow molding product appearance, in particular to a sub-pixel edge detection method based on improved morphology. Background technique [0002] Blow molding products are generally manufactured by mass-automated production lines. [0003] At present, in the blow molding industry, most of the geometric dimensions of products are inspected manually. There are problems such as long sampling inspection cycle, low efficiency, low precision, and size data cannot be archived. This also proposes an efficient and automated quality inspection of blow molding products. testing requirements. [0004] However, at present, industrial machine vision cannot realize sub-pixel level appearance detection of products through edge detection methods. The general idea of ​​sub-pixel contour extraction technology is: first, use the classic pixel-level edge detection operator to perform rough edge positionin...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 姜洪权高建民梁泽明王宏叶张雪微张凡勇刘文强吴小泽王慧娟
Owner GUANGDONG XIAN JIAOTONG UNIV ACADEMY
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