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

Method and device for searching similar image based on perceptual hash

A similar image, perceptual hash technology, applied in the field of similar image search, can solve problems such as no source, incomplete search, and unsatisfactory results.

Active Publication Date: 2016-09-21
GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing similar image search method is to use the perceptual hash algorithm to process the original image to generate a corresponding hash string, and then compare the hash string of the original image with the hash string of the image in the search library , and finally get a similar image. Although this method is fast and can change the image size, brightness and even color, it will not change the hash value of the image. However, if the input image is a screenshot of an image , the images searched by this method have the problem that the source cannot be found or the search is not comprehensive, so the searched results cannot meet the user's requirements

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
  • Method and device for searching similar image based on perceptual hash
  • Method and device for searching similar image based on perceptual hash
  • Method and device for searching similar image based on perceptual hash

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0156] Such as Figure 6 As shown, it is a flowchart of a perceptual hash-based similar image search method of the present invention, and the perceptual hash-based similar image search method specifically includes the following steps:

[0157] Step S1: input an initial image;

[0158] Step S2: Construct the scale space of the initial image to obtain a Gaussian pyramid, and make a difference between two adjacent layers in the same group of images in the Gaussian pyramid to obtain a Gaussian difference pyramid;

[0159] Step S3: finding stable key points in the Gaussian difference pyramid space;

[0160] Step S4: Select the densest area of ​​the stable key points, and determine the smallest rectangular area that can contain all the stable key points in the densest area as the screenshot image of the initial image;

[0161] Step S5: using a perceptual hashing algorithm to process the initial image and the screenshot image respectively to obtain a character string of the initial...

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 provides a method and a device for searching similar images based on perceptual hash. The device comprises an input unit, a difference unit, a searching unit, a screenshot unit, a perceptual hash algorithm unit, a comparison unit, and an output unit. The device has beneficial effects that after an input original image and a screenshot image of the original image are processed by the perceptual hash algorithm, the input original image and the screenshot image are respectively compared with images in a search library, so that under the condition that the input image is the screenshot image of a certain image, the source of the original image can be found. The device and the method improve accurate rate of the perceptual hash algorithm, and provide a new thinking for searching similar images.

Description

technical field [0001] The invention relates to a similar image search method, in particular to a perceptual hash-based similar image search method and device. Background technique [0002] The popularity of the Internet and the tremendous development of search engine technology have brought great convenience to people's lives, and people can quickly and accurately find what they need on the Internet. Image search is a new search mode, and there are tens of billions of images on the Internet, and the relevant technical conditions are not very mature to quickly and effectively identify the searched images. [0003] The existing similar image search method is to use the perceptual hash algorithm to process the original image to generate a corresponding hash string, and then compare the hash string of the original image with the hash string of the image in the search library , and finally get a similar image. Although this method is fast and can change the image size, brightne...

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): G06F17/30G06T7/00
CPCG06F16/583G06F16/951G06T2207/10004G06T2207/20016G06T2207/20021
Inventor 窦钰景侯大勇简宋全李青海
Owner GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
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