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

A pre-processing method for obtaining differential image

A differential image and preprocessing technology, applied in image data processing, image data processing, image communication, etc., can solve the problems of slow processing speed, complex mathematical calculation, and inappropriateness, and achieve the effect of convenient differential processing

Inactive Publication Date: 2008-03-26
BEIHANG UNIV +1
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. Image difference can only be performed on images that are completely overlapped and have no deformation
[0004] 2. It is only limited to the recovery process of translation and deformation of the image, and then image difference
[0007] 1. The images that can be differentially processed have certain limitations, and the differential images must be completely coincident with the reference image or only have translation deformation;
[0008] 2. Using the method of numerical calculation, although it avoids the restoration process of image deformation, it also brings new problems such as complex mathematical calculation and slow processing speed
At the same time, the image may also have various forms of deformation such as distortion and radial distortion, and this method is not suitable for dealing with these forms of deformation

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
  • A pre-processing method for obtaining differential image
  • A pre-processing method for obtaining differential image
  • A pre-processing method for obtaining differential image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The software implementation of the method of the present invention is introduced by taking the program written by Visual Basic as an example.

[0045] 1. Input two images:

[0046] Input the reference piece and the image to be preprocessed. As shown in Figure 1(a) and Figure 1(b), Figure 1(a) and Figure 1(b) are two photos of the same object at different times, in which the two photos were taken by Specific deformation has occurred, and Figure 1(b) has translation, rotation, and transverse and longitudinal tension and compression deformation relative to Figure 1(a). At the same time, due to the two photos taken at different times, the object being photographed has changed, as shown by a slash in the lower right corner of Figure 1(b). Both images have the same size, both have length g and width h. Figure (b) has translation, rotation, and transverse and longitudinal tension and compression deformation relative to figure (a).

[0047] 2. Click to take the reference po...

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 preprocessing technology for acquiring difference images, in particular a method for recovery processing of a horizontal and longitudinal pulling and pressing deformation, a rotational deformation and a translation deformation of two input digital images which have specific deformation step by step, realizing image regitration, finally acquiring two difference images. The specific deformation images have one or more deformations of horizontal and longitudinal pulling and pressing deformation, rotational deformation and translation deformation, and the horizontal and longitudinal pulling and pressing deformation is generated at last. The invention is characterized in that for two input images, regardless whether or not having relative deformation, the second image is carried out recovery processing for deformations of horizontal and longitudinal pulling and pressing deformation, rotational deformation and translation deformation in order, common parts of two images are overlapped completely, then image difference is executed, a image which shows different portions of common parts of two images is input. The method can compare, recover and difference input images automatically to acquire clear difference images.

Description

technical field [0001] The invention relates to a preprocessing technology for obtaining differential images, in particular to a method for recovering two input digital images with specific deformations, and gradually recovering image horizontal and vertical tension and compression deformations, rotation deformations, and translation deformations to realize image processing. Overlap, and finally get the method of two pictures that can be differentiated. The occurrence of specific deformation means that only one or more of horizontal and vertical tension-compression deformation, rotation deformation and translation deformation occurs in the image, and the horizontal and vertical tension-compression deformation occurs last. By using this method, images can be automatically compared and restored quickly, and a clear differential image can be obtained through difference of images preprocessed by this method. When it is necessary to take multiple photos of the same object, often d...

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
IPC IPC(8): H04N1/387G06T1/00
Inventor 谢劲松雷昕马静华何晶靖刘勤
Owner BEIHANG UNIV
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