Image processing device, image processing method, and image processing program

An image processing device and image processing technology, applied in image data processing, image analysis, image enhancement, etc., can solve problems such as false detection and large-scale image influence

Pending Publication Date: 2021-03-23
ORMON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, if a foreign object is reflected in a part of the inspection image, the feature of the foreign object will be extracted, and the feature of the foreign object will affect a wide range of the image during the repeated convolution and pooling of the image.
This effect can be the cause of false detection

Method used

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  • Image processing device, image processing method, and image processing program
  • Image processing device, image processing method, and image processing program
  • Image processing device, image processing method, and image processing program

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Embodiment Construction

[0028] Hereinafter, an embodiment of one aspect of the present invention will be described based on the drawings. The embodiments of the present invention are intended to facilitate understanding of the present invention, and are not intended to limit the interpretation of the present invention. The present invention can be changed or improved without departing from the gist, and the equivalents thereof are also included in the present invention. In addition, the same symbols denote the same constituent elements, and overlapping descriptions are omitted.

[0029] [Application example]

[0030] First, while referring to Figure 1 to Figure 5 , an application example of the present invention will be described.

[0031] figure 1 It is an explanatory diagram showing the flow of image processing in this embodiment. The convolutional neural network 100 extracts feature images such as defects from the inspection image 31 of the object to be inspected, and outputs an inspection r...

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Abstract

A convolutional neural network performs: a first masking process of masking a pixel region not to be inspected, by computing pixel values of corresponding pixels in an inspection image including a pixel region to be inspected and the pixel region not to be inspected, and in a mask image including a pixel region which has a pixel value for masking the pixel region not to be inspected and which is mapped to the pixel region not to be inspected; an intermediate process for extracting a feature image from the inspection image that has been subjected to the first masking process; and a second masking process of masking the pixel region not to be inspected, by computing the pixel values of corresponding pixels in the inspection image that has been subjected to the intermediate process, and in the mask image that has been subjected to a process identical to the intermediate process.

Description

technical field [0001] The present invention relates to an image processing device, an image processing method, and an image processing program. Background technique [0002] In the field of factory automation, automatic control using image measurement processing has been widely put into practical use. For example, an inspection process has been put into practical use in which inspection objects such as workpieces are photographed, and feature images such as defects are extracted from the inspection images obtained by the imaging to inspect whether the workpieces are good or bad. As an example of such image measurement processing, there is known a method of extracting a feature image using a convolutional neural network. The convolutional neural network repeatedly performs image convolution processing and pooling (pooling) processing to combine local features to extract overall features. Therefore, if a foreign object is reflected in a part of the inspection image, the fea...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0004G06T7/11G06T2207/20084G06T2207/20081G06T2207/30108G06T2207/30164
Inventor池田泰之栗田真嗣
OwnerORMON CORP