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

Optical image color consistency self-adaption processing and quick mosaic method

An optical imaging and consistency technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problem of color inconsistency in single frame and overlapping interval

Active Publication Date: 2016-04-27
深圳飞马机器人科技有限公司
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an optical image that is applied to the fully automatic processing of optical images of micro-miniature UAVs, effectively solves the problem of color inconsistency in single frames and overlapping intervals, and can realize automatic mosaic processing of images with any overlapping degree Adaptive Processing of Color Consistency and Fast Mosaic Method

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
  • Optical image color consistency self-adaption processing and quick mosaic method
  • Optical image color consistency self-adaption processing and quick mosaic method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] This embodiment provides an optical image color consistency adaptive processing and fast mosaic method, which is applied to the optical image of a micro-miniature UAV. The operation is simple, no manual intervention is required, and only the original image and the GPS data in the POS data are required. It can complete the fully automatic processing process of the image from aerotriangulation to mosaic drawing.

[0021] Specifically, such as figure 1 As shown, the method includes the following steps: first, step A, perform aerothree encryption on the original image, specifically, extract feature points from the original image according to the original image, camera information and airborne POS information, match the points with the same name, and perform rigorous The adjustment algorithm obtains the high-precision POS data of the image...

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 optical image color consistency self-adaption processing and a quick mosaic method and is applied in micro and mini unmanned aerial vehicle optical images. The self-adaption processing and the quick mosaic method comprise following steps: A: aero-triangulation: aero-triangulation is performed to a raw image on the basis of POS data and camera data to obtain high-precision POS data and a DEM of a test zone; B: ortho-rectification: digital differential rectification is performed to the image on the basis of the high-precision POS data and the test zone DEM to obtain a single ortho-image; C: image color-homogenizing: a global color-homogenizing template is constructed, batch processing of color-homogenizing is performed to the single image, and color blending is performed to overlapping regions of each image; D: image mosaicing: a mosaic line algorithm is adopted, images with overlapping degrees are jointed, and a photo map is output. The optical image color consistency self-adaption processing and quick mosaic method can be applied in fully automatic processing of micro and mini unmanned aerial vehicle optical images; by use of the method, the problem of color inconstancy of single image and overlapping regions is solved, and automatic mosaic processing of images with all overlapping degrees can be realized.

Description

technical field [0001] The invention relates to the data processing technology of the optical image of micro-miniature unmanned aerial vehicles, in particular to an optical image color consistency self-adaptive processing and fast mosaic method. Background technique [0002] Different from conventional large digital images, micro-UAV optical images have problems such as small image size, large number of photos, large image inclination, high overlap and irregularity, and uneven colors. How to quickly stitch and generate a panoramic image of the survey area Higher requirements are put forward for data processing technology. [0003] There are two key technologies involved in the processing of UAV images: image color uniformity technology and image mosaic technology. The quality of the processing technology directly affects the image quality of UAV images. Image color uniformity technology is mainly concerned with the processing of color consistency. Most of the current algori...

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): G06T7/40
CPCG06T2207/10024G06T2207/20004G06T2207/20221
Inventor 苗培培王邦松支晓栋高广郭大军
Owner 深圳飞马机器人科技有限公司
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