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

Information extraction method and device of target image, vehicle equipment and storage medium

A target image and information extraction technology, which is applied in the field of vehicle information processing, can solve problems such as wrong braking of vehicles and inability to recognize the shape of objects

Pending Publication Date: 2022-07-26
CHINA FIRST AUTOMOBILE
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a target image information extraction method and device, vehicle equipment, and storage media to at least solve the problem that the intelligent driving system of the vehicle in the related art cannot recognize and accurately recognize the object shape in the image, which may easily cause the vehicle to be mismanufactured. dynamic technical issues

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
  • Information extraction method and device of target image, vehicle equipment and storage medium
  • Information extraction method and device of target image, vehicle equipment and storage medium
  • Information extraction method and device of target image, vehicle equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] According to an embodiment of the present invention, an embodiment of a method for extracting information from a target image is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases steps shown or described may be performed in an order different from that herein.

[0046] figure 1 is a flowchart of an optional target image information extraction method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0047] Step S102, extracting the image gradient information of the pre-collected target image and the color information of each pixel block, wherein the target image is divided into a plurality of pixel blocks;

[0048] Step S104, combining the image gradient information and the color information of...

Embodiment 2

[0085] In this embodiment, the target image is analyzed in combination with the intelligent driving system of the vehicle.

[0086] In the embodiment of the present invention, the watershed transformation and the original FCM membership degree measurement method are improved, the sensitivity of the algorithm to color changes is reduced, and the segmentation accuracy of the algorithm is improved. The main process of this embodiment can be divided into three parts: the first part, the improved watershed algorithm is used to optimize the segmentation of the image; the second part, the watershed algorithm is improved by combining multiple neighborhood color information and gradient information, and the method is upgraded to Super pixel level, improve the adaptability to color changes; the third part, in order to improve the algorithm's ability to segment driving images, this embodiment proposes a spatial hybrid metric method, which organically combines non-spatial distance informat...

Embodiment 3

[0141] This embodiment provides an apparatus for extracting information from a target image, and the multiple implementation units involved in the information extraction apparatus correspond to each implementation step in the first embodiment above.

[0142] Figure 4 is a schematic diagram of an optional target image information extraction device according to an embodiment of the present invention, such as Figure 4 As shown, the information extraction apparatus may include: an extraction unit 41, a merging unit 42, a calculation unit 43, an update unit 44, and an output unit 45, wherein,

[0143] The extraction unit 41 is used to extract the image gradient information of the pre-collected target image and the color information of each pixel block, wherein the target image is divided into a plurality of pixel blocks;

[0144] The merging unit 42 is used for combining the image gradient information and the color information of each pixel block, merging adjacent pixel blocks, ...

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 information extraction method and device of a target image, vehicle equipment and a storage medium. The method comprises the following steps: extracting image gradient information of a pre-collected target image and color information of each pixel block; combining the image gradient information and the color information of each pixel block, merging the adjacent pixel blocks, and performing segmentation processing on the merged pixel blocks to obtain a plurality of segmented pixel blocks; calculating spatial distance information and non-spatial distance information between each segmented pixel block and the clustering center; combining the spatial distance information and the non-spatial distance information, iteratively updating the membership degree of each segmented pixel block and the clustering center, and updating the clustering center based on the updated membership degree; and under the condition that the number of iterations reaches a preset iteration threshold, outputting the image classification object indicated by each clustering center to obtain an object mask image.

Description

technical field [0001] The present invention relates to the technical field of vehicle information processing, and in particular, to a method and device for extracting information from a target image, vehicle equipment, and a storage medium. Background technique [0002] At present, with the continuous development of computer technology, it has been gradually integrated into various industries, such as the automotive industry. Currently, with the concept of "intelligent driving", the connection between computer technology and the automotive industry is becoming more and more close. Traditional automobiles are mainly based on mechanical manufacturing and simple communication with self-vehicle buses, and provide limited auxiliary information for drivers. However, with the gradual improvement of the public's requirements for intelligent automobiles, major automobile companies have integrated a variety of intelligent driving technologies into automobiles. Inside, a large amount ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/58G06V10/22G06V10/26G06V10/50G06V10/56G06V10/74G06V10/762
CPCG06V20/58G06V10/22G06V10/267G06V10/56G06V10/50G06V10/762G06V10/74
Inventor 谢泽宇罗逍赵德芳栗海兵陈薪宇郑震马欢王祎男
Owner CHINA FIRST AUTOMOBILE