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Identification method of yarn car tiles

A recognition method, yarn car technology, applied in the field of image processing, can solve problems such as detection failure detection accuracy, and achieve the effect of correcting misjudgment

Active Publication Date: 2020-03-17
福德机器人(成都)有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to: in the above-mentioned existing template matching technology, in the case of large-scale occlusion or loss of key feature points of the detected object, detection failure or poor detection accuracy is prone to occur, the present invention provides a method based on the detection The feature points of the object are split and then the matching method of the template is established, that is, the recognition method of the yarn car tile

Method used

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  • Identification method of yarn car tiles
  • Identification method of yarn car tiles
  • Identification method of yarn car tiles

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Embodiment Construction

[0029] All the features disclosed in this specification, except for mutually exclusive features and / or steps, can be combined in any manner.

[0030] Combine below figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Image 6 , Figure 7 , Figure 8 The present invention will be described in detail.

[0031] Such as figure 1 Shown are tiles under ideal conditions. This kind of image can be used to identify the target object simply by using common existing technologies. But in daily life, the common basic is like figure 2 , image 3 For the missing feature points or the occluded image shown, the commonly used image recognition technology cannot complete the recognition of the target object well.

[0032] The actual application steps of this method are as follows:

[0033] Step one, extract feature points of the unoccluded target tiles, and repeat this process until the acquired feature points are enough to create a template, such as Figure 4 Shown

[0034] Step 2: Through the fe...

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Abstract

The invention proposes a method for identifying yarn car tiles. Once the template matching technology in the prior art detects large-scale occlusion or loss of key feature points, it is prone to detection failure or poor detection accuracy, and cannot be used in actual production. In view of the deficiencies and defects of the prior art, the purpose of the present invention is to provide a matching method based on splitting the feature points of the detected object and then establishing a template. The method can better detect the position of the tile. The advantage is that when the detected object appears large-scale occlusion (more than 40% of the area is occluded or the key point is missing), it can better detect the position of the tile; it has anti-misjudgment detection and can be very good. Correct the misjudgment that occurred, and the position of the tile can be accurately found through multiple inspections.

Description

Technical field [0001] The invention belongs to the field of image processing, and particularly relates to a method for identifying yarn cart tiles. Background technique [0002] Image recognition refers to the use of computers to process, analyze, and understand images to identify targets and objects in various modes. In general industrial use, industrial cameras are used to take pictures, and then the software is used for further recognition processing based on the grayscale difference of the pictures. The image recognition software is represented by Cognex in foreign countries, and Image Intelligence is represented in China. In addition, in geography, it refers to the technology of classifying remote sensing images. Graphical stimuli act on sensory organs. The process by which people recognize it as a certain graphic they have experienced is also called image recognition. In image recognition, there must be both the information that entered the senses at that time and the in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/464G06V10/757G06V2201/06
Inventor 陈聪
Owner 福德机器人(成都)有限责任公司
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