Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing method and device and storage medium

An image processing and image technology, applied in the field of image processing, can solve the problems of missed detection or false detection, low recall rate, insufficient task accuracy, etc.

Pending Publication Date: 2021-03-26
中科云谷科技有限公司 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method, device and storage medium for image processing, which are used to solve the problem that the existing image processing methods have insufficient task precision and low recall rate for images with large semantic differences, which may easily cause missed detection or Case of false detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing method and device and storage medium
  • Image processing method and device and storage medium
  • Image processing method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0040] It should be noted that if there are directional indications (such as up, down, left, right, front, back...) in the implementation of the present application, the directional indications are only used to explain the position in a certain posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0041] In addition, if there are descriptions involving "first", "second" and so on in the embodiments of the present application, the descriptions of "first", "second" and so on are only for descriptive purposes, and should not be interpreted as indicating or implying Its relative ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image processing method and device and a storage medium. The method comprises the following steps: acquiring an image acquired by image acquisition equipment; detecting a strong semantic target in the image by using a strong semantic model and intercepting a weak semantic target to-be-detected area corresponding to the strong semantic target; employing a weak semantic model for detecting a weak semantic target in the to-be-detected area of the weak semantic target; and combining the strong semantic target and the weak semantic target to obtain a final target image. Thus, even for an image which contains a plurality of to-be-detected targets and has large semantic difference between the targets, the detection accuracy of the image is higher, the recall rate is higher, and the situation of missing detection or false detection is reduced.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to an image processing method, device and storage medium. Background technique [0002] Image processing tasks include target detection, semantic segmentation, or optical character recognition (Optical Character Recognition, OCR), etc. The current image processing method generally uses a one-time model, which has an end-to-end effect, but the model is too large, which leads to a long training time, and the distinction effect is not obvious, and it is difficult to take into account the goals with large semantic differences. Semantic difference means that in the same data set, the area ratio of different samples in the image is too different, the contrast difference is too large, or the sample size is too different. The existing image processing methods are not ideal for images with large semantic differences. Targets with large semantic differences increase th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/32G06N20/00
CPCG06N20/00G06V10/25G06V2201/07
Inventor 黄跃峰杨军
Owner 中科云谷科技有限公司