Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image identification method and system, and automatic focusing control method and system

An image recognition and image technology, applied in the field of image recognition, can solve the problems of complex steps in the target area and achieve the effect of accurate automatic focus

Inactive Publication Date: 2017-12-15
GUANGZHOU KANGXINRUI GENE HEALTH TECH CO LTD
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an image recognition method and system, which aims to solve the problem of complicated steps in the method of obtaining the target area in the prior art

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 identification method and system, and automatic focusing control method and system
  • Image identification method and system, and automatic focusing control method and system
  • Image identification method and system, and automatic focusing control method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0070] like figure 1 , figure 2 , image 3 , Figure 4 As shown, the first embodiment of the present invention provides an image recognition method, the method includes the following steps:

[0071] S01. Using the image matching method, perform similarity matching on the template array and all regions to be matched in the image to be tested, and assign each similarity value to the pixel points in the corresponding region to be matched to obtain a similarity value image;

[0072] S02. Using the similarity threshold to filter the similarity value image to obtain a filtered image;

[0073] S03. Determine the point with the largest similarity value in the first area, and use the area to be matched corresponding to the point with the largest simila...

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 relates to the field of image identification, and provides an identification method, an identification system and application thereof for edges of a subject matter in an image. The identification method comprises the steps of: A, carrying out similarity matching on a template array and all regions to be matched in an image to be tested by using an image matching method, and assigning similarity values to pixels in the corresponding regions to be matched so as to obtain a similarity value image; B, filtering the similarity value image by utilizing a similarity threshold value, so as to obtain a filtered image; C, and determining the point with the maximum similarity value in the first region, and regarding the region to be matched corresponding to the point with the maximum similarity value as a subject matter region in the image to be tested, wherein the first region is a continuous similarity value region in the filtered image. The method and the system provided by the invention can precisely identify the region in which the subject matter in the image is positioned, especially when the image to be tested contains a plurality of articles in different shapes.

Description

technical field [0001] The present invention relates to the field of image recognition, more specifically, to an image recognition method and system, and an automatic focus control method and system. Background technique [0002] A method for extracting SAR image target outline based on the Snakes model is mentioned in the prior art, including based on the half-point noise model, using the local statistical characteristics of the image, selecting a window as a local area, and using the Lee filter algorithm to filter; clutter suppression Conditional judgment and amplitude adjustment are performed on the gray value of each pixel of the final image, and the gray scale transformation is performed on the image after clutter suppression by using the piecewise linear gray scale transformation method; The feature establishes the energy function test, and obtains the target contour curve by solving the energy function minimization problem. [0003] This method involves filtering, gr...

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): G06K9/32G06K9/62G06K9/40
CPCG06V10/255G06V10/30G06V10/759G06F18/22
Inventor 盛司潼冀高
Owner GUANGZHOU KANGXINRUI GENE HEALTH TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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