Product positioning method

A positioning method and product technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems affecting product positioning accuracy and product image quality.

Active Publication Date: 2019-08-30
GUANGDONG LYRIC ROBOT INTELLIGENT AUTOMATION CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the commonly used product positioning methods mainly include template matching algorithm and image edge extraction algorithm. Whether it is a template matching algorithm or an image edge extraction algorithm, the accuracy of product positioning depends on the imaging quality of the product image. When equipment such as camera focusing, background light when taking pictures, etc. or the current of the photocell is not suitable, it will affect the product image quality, thereby affecting the accuracy of product positioning

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0055] Please refer to figure 1 As shown, it is a flow chart of cell positioning. As shown in the figure, the cell positioning method includes:

[0056] The cell image 10 is collected, wherein a CCD vision system may be used to photograph the cell to form the cell image 10 , or an image sensor may be used to collect the cell image 10 .

[0057] After the cell image 10 is collected, integral image calculation is performed on the cell image 10 . The integral graph calculation process is as follows:

[0058] Please refer to figure 2 As shown in , it is a schematic diagram of integral graph calculation in the integral window. An integration window 20 is preset near each vertex 101 of the battery image 10, that is, an integration window 20 is preset at the approximate position of each vertex 101 of the battery image 10, without considering the precise position of the vertex 101, so Even if the quality of the cell image 10 is not high, it is only necessary to preliminarily esti...

Embodiment 2

[0093] For the product positioning method of this embodiment, please refer to Figure 7 As shown, it is a flow chart of cell positioning in this embodiment. The difference from Embodiment 1 is that the product positioning method in this example can be realized without preset integration windows. Such as Figure 7 As shown, the cell positioning methods include:

[0094] The battery image 10 is collected, and after the collection of the battery image 10 is completed, the integral map calculation is performed on the battery image 10 . The integral graph calculation process is as follows:

[0095] Please refer to Figure 8 As shown in , it is a schematic diagram of integral graph calculation in this example. Carry out integral map calculation on the cell image 10, when performing the integral map calculation of the cell image 10, specifically proceed as follows: divide the cell image 10 into several first rectangular areas 201, each first rectangular area 201 The integral map...

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Abstract

The invention discloses a product positioning method. The method comprises the steps of collecting a product image; carrying out integral graph calculation on the product image; and obtaining coordinates of each vertex in the product image by adopting a differential calculation mode according to the calculated integral image. According to the invention, the integral graph algorithm is applied to product positioning; therefore, when the product image quality is not high, such as image blurring, the product is inconvenient to position by adopting an image edge algorithm or a template matching algorithm, the product image and the background area can be quickly divided by adopting an integral graph algorithm, so that the product can be positioned without being limited by the image quality.

Description

technical field [0001] The present application relates to the technical field of product positioning, and in particular, relates to a product positioning method. Background technique [0002] At present, the commonly used product positioning methods mainly include template matching algorithm and image edge extraction algorithm. Whether it is a template matching algorithm or an image edge extraction algorithm, the accuracy of product positioning depends on the imaging quality of the product image. When equipment such as camera focusing, background light when taking pictures, etc., or the current of the photocell is not suitable, it will affect the image quality of the product, thereby affecting the accuracy of product positioning. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present application provides a product positioning method. [0004] A product positioning method disclosed in this application includes: [0005] Capture product...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32
CPCG06V10/245G06V20/69G06V20/693G06V10/7715G06T7/12G06T7/194G06T7/168G06T7/13
Inventor 杜义贤王刚陈德石金进
Owner GUANGDONG LYRIC ROBOT INTELLIGENT AUTOMATION CO LTD
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