Wireless sensor network image fusion method based on multi-focus fusion and image splicing

A technology of wireless sensor network and image stitching, which is applied in the field of data fusion of wireless sensor network and can solve the problems of single image fusion research.

Inactive Publication Date: 2012-06-27
SOUTH CHINA UNIV OF TECH
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the single problem of existing image sensor network image fusion research, the present invention fully combines the two fusion technologies to obtain different image information on the basis of improving the respective fusion algorithms of multi-focus image fusion technology and image splicing fusion technology. It provides an effective and feasible image fusion method for wireless sensor networks based on multi-focus fusion and image stitching

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
  • Wireless sensor network image fusion method based on multi-focus fusion and image splicing
  • Wireless sensor network image fusion method based on multi-focus fusion and image splicing
  • Wireless sensor network image fusion method based on multi-focus fusion and image splicing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in conjunction with the drawings and examples, but the scope of protection claimed by the present invention is not limited to the scope of the embodiments.

[0051] The present invention can use multiple collection nodes for image collection (such as figure 1 ), a single acquisition node can also be used for image acquisition. In this embodiment, a single acquisition node is used for image acquisition. The camera of the acquisition node can be rotated to adjust the angle. By rotating, images in all directions can be collected 360 degrees, and then the images are fused. . The function realized by the embodiment is to fuse a 360-degree loop-back panorama image with multi-focus information, and it can be connected to a wireless network for fused image transmission. The topology of the wireless sensor network is as follows: figure 2 Shown.

[0052] The embodiment designs a set of operation processing platform for image acqui...

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 wireless sensor network image fusion method based on multi-focus fusion and image splicing. According to the wireless sensor network image fusion method, multi-focus image acquisition is firstly carried out on an image acquisition node, a multi-focus image fusion algorithm based on direction area energy is called to perform multi-focus image fusion, a focused image is selected by an adaptive gradient threshold judging method and is transmitted to a splicing processing node, multi-focus images obtained from different directions in different acquisition nodes or the same acquisition node are spliced by the splicing processing node, and a multi-azimuth and multi-focus fusion image is obtained and is then transmitted. The invention combines the multi-focus image fusion technology with the image splicing technology, effectively fuses a large number of image data to be transmitted, so the data transmission quantity and transmission energy consumption of the sensor network are reduced, meanwhile, users are ensured to obtain more direct and more abundant information, the adaptive gradient threshold judging method is adopted to select splicing materials, and the adverse effect of focusing blurred images on fusion result is reduced.

Description

Technical field [0001] The invention relates to a data fusion technology of a wireless sensor network, in particular to a wireless sensor network image fusion method based on multi-focus fusion and image splicing. Background technique [0002] The data aggregation or data fusion technology in wireless sensor networks is a process of processing data or information collected by sensors to combine data that is more in line with user needs and more effective. Data fusion requires efficient management of nodes to save network energy consumption and extend network life; at the same time, it processes redundant data, reduces network data transmission, avoids data transmission conflicts, and reduces the impact of environmental noise and interference between sensors on data. Improve collection efficiency so that users can obtain the most authentic, direct, and richest information. [0003] Image fusion refers to combining the information of two or more source images, extracting the more in...

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): G06T5/50G06T7/00
Inventor 胡斌杰江卓斌
Owner SOUTH CHINA UNIV OF TECH
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