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

Filtering and denoising method applied to edge detection

A filter denoising and edge detection technology, which is applied in image data processing, instrumentation, computing, etc., can solve problems that affect the accuracy of edge detection, image noise, and uneven illumination, and achieve significant effects and solve noise and uneven illumination , the effect of improving image quality

Inactive Publication Date: 2021-01-08
北京享云智汇科技有限公司
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned defects, the technical problem to be solved by the present invention is to provide a filtering and denoising method applied to edge detection, so as to solve the problems existing in the current technology that the collected pictures are noisy and the uneven illumination causes the accuracy of edge detection to be affected.

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
  • Filtering and denoising method applied to edge detection
  • Filtering and denoising method applied to edge detection
  • Filtering and denoising method applied to edge detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] Please also refer to Figure 1 to Figure 7 Now, a specific implementation manner of a filtering and denoising method applied to edge detection provided by the present invention will be described. The specific steps of this filtering and denoising method applied to edge detection include:

[0047] S1. Obtain and input the original image G through the camera;

[0048]S2. Perform RGB spatial filter denoising based on the wavelet soft threshold algorithm ...

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 a filtering and denoising method applied to edge detection, which comprises the following steps of: analyzing pictures of pedestrians, vehicles and obstacles on a road shot bya forward-looking camera, respectively filtering and denoising three spatial components of a color image by adopting a wavelet threshold algorithm, and graying the three recombined components by adopting a weighted average method; processing an image by adopting top hat transformation and multiple edge detection methods, and extracting edge features, so the image quality is effectively improved, and the influence of the problem of non-uniform light on recognition is weakened. The filtering and denoising method applied to edge detection provided by the invention performs edge detection on targets such as pedestrians and vehicles on a road with high efficiency and high precision, solves the influence of noise and uneven illumination on image edge detection, improves the detection precision of edge detection, provides a basis for subsequent target identification work, and is remarkable in action effect and suitable for wide popularization.

Description

technical field [0001] The present invention relates to the technical field of edge detection, in particular to a filtering and denoising method applied to edge detection. Background technique [0002] The front-view camera is usually installed behind the front windshield, and the front-view camera can obtain various traffic target information such as vehicles in front, passing vehicles, pedestrians in front, traffic signs, and lane lines. The image information acquired by the front-view camera is recognized and processed by the chip. The boundary between the background of the image and the target image is the edge of the image. [0003] At present, during the image collection process of the front-view camera, due to the influence of the electronic components and electronic circuits of the camera itself, the collected pictures will be noisy, which will affect the detection and recognition results. Due to the variable factors of environmental lighting conditions, the illumi...

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): G06T5/00G06T5/50G06T7/13G06T7/136G06T7/194G06T7/90
CPCG06T5/50G06T7/13G06T7/136G06T7/194G06T7/90G06T2207/10004G06T2207/20064G06T2207/20224G06T5/70
Inventor 白成飞
Owner 北京享云智汇科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com