Image feature extraction method and system

An image feature extraction and feature extraction technology, applied in the field of image processing, can solve problems such as difficulty in image feature extraction, image feature influence, image blur, etc., and achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2016-09-21
BEIJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the user is usually in a walking state when using the positioning function. Therefore, the images collected by the mobile terminal through the camera are usually zoomed or rotated, and even the collected images may be blurred due to the moving state, which makes it difficult for the mobile terminal to collect images. It is difficult to extract features from images. At the same time, the existing HOG (Histogram of Oriented Gradient, histogram of oriented gradient) and LPQ (Local Phase Quantization, local phase quantization) two feature extraction methods will make The extraction of image features is affected
In addition, only using the HOG method or only the LPQ method makes the calculation amount still large, which is not suitable for use on mobile terminals with limited computing power and memory resources.

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 feature extraction method and system
  • Image feature extraction method and system
  • Image feature extraction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] 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.

[0038] In order to solve the problems in the prior art, an embodiment of the present invention provides an image feature extraction method and system.

[0039] First, the embodiment of the present invention provides an image feature extraction method, such as figure 1 As shown, the method may include:

[0040] S101: Determine the target image to be processed;

[0041] Among them, the target image to be processed is acquired firstly. It can be understood that...

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 embodiment of the invention provides an image feature extraction method and system. The method comprises a step of determining a target image to be processed, a step of extracting the HOG feature of the target image based on a direction gradient histogram HOG algorithm, a step of visualizing the HOG feature based on a preset visualization formula so as to obtain an visualization image, a step of extracting a local phase quantization (LPQ) feature from the visualized image, and a step of taking the extracted LPQ feature as the image feature of the target image. By applying the embodiment of the invention, the calculation amount of carrying out feature extraction on the image is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image feature extraction method and system. Background technique [0002] At present, the images collected by the mobile terminal through the camera can be applied to various fields. For example, the image collected by the mobile terminal through the camera can be applied to the positioning technology, that is, the image collected by the mobile terminal is matched with the database image, and then the positioning is obtained. data. However, the user is usually in a walking state when using the positioning function. Therefore, the images collected by the mobile terminal through the camera are usually zoomed or rotated, and even the collected images may be blurred due to the moving state, which makes it difficult for the mobile terminal to collect images. It is difficult to extract features from images. At the same time, the existing HOG (Histogram of Oriented Gradient...

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): G06K9/46
CPCG06V10/443G06V10/50
Inventor 邓中亮焦继超李菲毛旭
Owner BEIJING UNIV OF POSTS & TELECOMM
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
Try Eureka
PatSnap group products