Texture Feature Extraction Method and Device

A technology of texture features and extraction methods, applied in the field of image processing, can solve the problems of missed detection of foreground edges and high false detection rate of texture features, and achieve the effect of reducing false detection rate and enriching reference

Inactive Publication Date: 2018-06-05
深圳深讯和科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, when the traditional technology performs edge detection to extract the texture features of the image frame, it only refers to the single gray edge information in the image, resulting in some foreground edges being missed, resulting in a high false detection rate of texture features.

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
  • Texture Feature Extraction Method and Device
  • Texture Feature Extraction Method and Device
  • Texture Feature Extraction Method and Device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] 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. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] In one embodiment, such as figure 1 As shown, a texture feature extraction method completely depends on computer programs and can run on a computer system based on the Von Neumann system.

[0042] The method includes:

[0043] Step S102, acquiring an input image, and converting the input image into an IHS color space.

[0044] An RGB image is an image identified by the data of the three color channels of R (red), G (green), and B (blue). In practical applications, images are usually RGB images, such as image frames in movies and video screens.

[0045] In this embodiment, according to th...

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 for extracting texture features, comprising: acquiring an input image, converting the input image into IHS color space; calculating the simplified double quaternion matrix of the image converted into the IHS color space; acquiring A preset multi-channel filter function matrix; calculate the reduced double quaternion convolution of the reduced double quaternion matrix and the multi-channel filter function matrix to obtain a convolution matrix; find the adjacency difference in the convolution matrix The pixel coordinates whose value is less than the difference threshold value, and generate texture features according to the found pixel coordinates. In addition, a texture feature extraction device is also provided. The above texture feature extraction method and device can reduce the false detection rate of texture feature extraction.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a texture feature extraction method and device. Background technique [0002] In various application scenarios in traditional technologies, it is usually necessary to perform edge detection on the texture in the image, so as to extract the texture features in the image that can represent the foreground of the object in the image. For example, in the application of converting 2D video to 3D video, it is usually necessary to perform edge detection on the foreground of the object in the video frame, extract its texture features, and then adjust its position in the video frame through inspection estimation, so that the human eye can produce 3D effect. [0003] However, when the traditional technology performs edge detection to extract the texture features of the image frame, it only refers to the single gray edge information in the image, resulting in some foreground edges ...

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): G06K9/46G06T7/13G06T7/90
Inventor 孔德明陈小平汪大崴
Owner 深圳深讯和科技有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap