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Ring-shaped object counting method based on image processing

A ring-shaped object and image processing technology, applied in the field of image processing, can solve problems such as difficulties, achieve the effects of light weight, overcome setting difficulties, missed detection, and avoid accumulated errors

Inactive Publication Date: 2018-10-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Application Information

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Problems solved by technology

[0010] The beneficial effect of the present invention is that the calculation of the number of annular objects is converted into the number of calculations of inner rings in the image, completely avoiding the cumulative error caused by the indirect relationship of "number = total pixel points / single pixel point", and overcoming Hough circle transform threshold setting is difficult and the problem of missed detection, and realizes fast counting, improves counting efficiency and accuracy

Method used

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  • Ring-shaped object counting method based on image processing
  • Ring-shaped object counting method based on image processing
  • Ring-shaped object counting method based on image processing

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Embodiment

[0038] Step 1. Image preprocessing

[0039]1-1 Grayscale: The RGB three components of the color image are weighted and averaged with different weights. A weighted average of the RGB three components can be obtained by the following formula to obtain a more reasonable grayscale image f(i, j) = 0.30R(i, j) + 0.59G(i, j) + 0.11B(i, j);

[0040] 1-2 Binarization: The OTSU algorithm is used, that is, the gray value with the largest variance between classes is selected as the optimal segmentation threshold, and the image is binarized to obtain the image src_th (the ring part is 1 (white) and the rest is 0 (black)).

[0041] 1-3 distance transformation: perform distance transformation on the image src_th.

[0042] 1-4 Watershed algorithm: Use the watershed algorithm to segment the image after distance transformation to obtain the image src_line with the dividing line, and find the outer contour contours of the image src_line, and the number of contours is n.

[0043] Step 2, extra...

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Abstract

The invention provides a ring-shaped object counting method based on image processing. Inner ring parts of targets in a to-be-counted image are extracted, the number of inner rings in the inner ring images is the final number of ring-shaped objects, and in order to avoid the condition that when multiple ring-shaped objects are closely adjacent, gaps formed among the ring-shaped objects can be extracted to be regarded as the inner ring parts, a watershed algorithm is particularly adopted to conduct external counter extraction on circular rings. According to the method, the problem that Hough-circle transform threshold setting is difficult and the problem of missing detection are solved, quick counting is achieved, and the counting efficiency and accuracy are improved; and high-accuracy andquick counting of the ring-shaped objects similar to industrial sealing felt pads which are low in weight, small in size and uneven in density is achieved.

Description

technical field [0001] The invention belongs to the field of image processing and is mainly used for fast and accurate counting of ring-shaped objects with light weight, small volume and uneven density. Background technique [0002] Industrial sealing felt pad is a sealing gasket made by punching, which has the functions of sealing, heat insulation, sound insulation, shockproof, filtering, etc. It is widely used in various industrial fields such as home appliances, musical instruments, sports equipment, automobiles, and cultural products. , Accurately calculating the number of felt pads is very important to ensure the economic benefits of the manufacturer. [0003] The basic characteristics of felt pads are small size, light weight, and regular shape. Since the processed raw materials contain different types of wool, the final finished product will have uneven density and thickness due to the length and thickness of the wool, resulting in errors. [0004] The traditional co...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/46
CPCG06V10/267G06V10/48G06V10/56
Inventor 解梅秦国义陶帅卢欣辰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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