Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Object image detection method and device capable of improving classification efficiency

An image detection and object technology, which is applied in the field of object image detection that can improve classification efficiency, and can solve the problems of huge amount of calculation and long processing time

Active Publication Date: 2018-09-28
AUTOMOTIVE RES & TESTING CENT
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this strategy is that there is no need to use other assistive devices, but the disadvantage is that the calculation is huge and the processing time is long

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
  • Object image detection method and device capable of improving classification efficiency
  • Object image detection method and device capable of improving classification efficiency
  • Object image detection method and device capable of improving classification efficiency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The structural principle and working principle of the present invention will be described in detail below in conjunction with the accompanying drawings:

[0029] For the preferred embodiment of the present invention, please refer to figure 1 As shown, an embedded system 10 is provided on the vehicle. The embedded system 10 includes an image input unit 11, an image processing unit 12, and an output unit 13 connected in sequence, whereby the embedded system 10 The external image can be obtained by the image input unit 11, and the outline and type of the obstacle in the image can be identified by the image processing unit 12, and then the output unit 13 can issue a warning to achieve the purpose of identifying the obstacle around the vehicle.

[0030] The image input unit 11 is more than one CCD camera or more than one CMOS camera. The image input unit 11 can be set in the front of the vehicle, the rear of the vehicle, the left side of the vehicle, or the right side of the vehic...

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 object image detection method and an object image detection device capable of improving the classification performance. According to the object image detection method capable of improving the classification performance, an embedded system acquires image information, detects the image information to generate a circle-selection range of an obstacle as the initial contour of the obstacle, generates a correct contour of the obstacle by a Poisson vector active deformation contour algorithm based on the circle-selection range, using a multi-grid algorithm and a variable-size grid to improve the computing speed, and circle-selects a maximum boundary according to the correct contour of the obstacle to enable a classifier to identity the type of the obstacle. The object image detection method and the object image detection device of the invention have the advantage of being capable of improving complete circle-selection of dynamic objects and improving the accuracy of identification. The problem that an existing dynamic object detection and image recognition method has high probability of incorrect judgment, is time-consuming, and cannot be easily combined with an existing vehicle system is solved.

Description

Technical field [0001] The invention relates to an object image detection method, in particular to an object image detection method capable of improving classification efficiency. Background technique [0002] Nowadays, the dynamic object detection and identification methods used to identify various image formats can only circle and select certain parts of the obstacles in the image, and after segmenting the parts, use the method of graphic comparison with multiple known graphics The comparison can only determine what kind of object the obstacle is. Therefore, the accuracy of the comparison judgment ability will be affected by the completeness of the segmentation, which means that when the circled area is too small, each part is likely to produce discontinuous blocks. It is not easy to form a complete outline of obstacles, resulting in a large increase in misjudgment and excessive search time. [0003] In the aforementioned dynamic object detection and image recognition method, if...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/60
Inventor 杨志弘张国清
Owner AUTOMOTIVE RES & TESTING CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products