Method for improving precision of volume holographic correlator through interpolation technology

A correlator and volume holography technology, applied in the field of interpolation technology, to achieve the effect of improving output accuracy

Inactive Publication Date: 2010-03-24
TSINGHUA UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But in this way, if it is still based on the traditional "hit-miss" principle, the "positioning" accuracy of the real-time map can only be limited to xx

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
  • Method for improving precision of volume holographic correlator through interpolation technology
  • Method for improving precision of volume holographic correlator through interpolation technology
  • Method for improving precision of volume holographic correlator through interpolation technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] This embodiment is an example of improving the accuracy by performing an interpolation technique on the library image and the input image applied to the volume holographic correlator. In the process of volume holographic recognition, there is a kind of problem of rotation distortion recognition, attached Figure 7 For embodiment 1 library image A, attached Figure 8 It is the image after 10 degrees of rotation distortion occurs clockwise to the original image in Example 1, with Figure 9 is the input real-time image, where the resolution of each image is 640×480. In this way, if interpolation processing is not used, the recognition result can only be the original image or a distorted image rotated 10 degrees clockwise, and the recognition accuracy is low. The process of using interpolation technology is as follows: record clockwise rotation as the positive direction, record the original image as A, the image with +10 degree distortion as B, and the real-time image as ...

Embodiment 2

[0085] Compared with the first embodiment, this embodiment is a planar two-dimensional embodiment. In the process of image translation recognition, the attached Figure 11 is the picture before translation, denoted as picture A; attached Figure 12 is an image shifted 10 pixels to the right, which is denoted as Figure B; Figure 13 is an image shifted up by 10 pixels, denoted as Figure C, attached Figure 14 is a real-time graph, denoted as D. The resolution of each image is 640×480. If the interpolation technology is not used, and a real-time image is input, the volume holographic recognition result can only be one of the above three images, and the recognition accuracy is 10 pixels. If interpolation technology is used, it can be further identified within 10 pixels, which greatly improves the identification accuracy.

[0086] The process of using interpolation technology is as follows:

[0087] 1. Store the library images A, B, and C in the volume holographic correlator...

Embodiment 3

[0096] Compared with the first embodiment, this embodiment is an example of reducing the number of stored samples while maintaining the same precision. attached Figure 19 The picture is a picture of nine consecutive frames of hall_monitor, and the resolution of each picture is 274×288. If interpolation technology is not used, nine pictures need to be stored while maintaining the recognition accuracy of one frame. Now using interpolation technology, only two pictures need to be stored. Among them, Figure 20 is the second frame in the above picture, denoted as picture A; attached Figure 21 is the eighth frame in the above picture, denoted as picture B; Figure 22 is a real-time graph. Mark it as D. While maintaining the recognition accuracy of one frame, the stored sample capacity is reduced.

[0097] 1. Store image A and image B into the volume holographic correlator.

[0098] 2. Input the image A and the image B into the volume holographic correlator to obtain the bri...

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 relates to a method for improving the precision of a volume holographic correlator through interpolation technology, which belongs to the optical information processing field. The storedimage is saved into the volume holographic correlator, the images used for normalization process are respectively inputted into the corelator to get images A', B'and C'relative to the related point brightness of the stored image A, B and C as a consequent normalization standard; a real-time image D is inputted into the volume holographic correlator for normalization process to get the relative point brightness m, n and o; the stored image A, B and C is processed by the interpolation process: determining the curve f(D), g(D)g(D) and h(D) required by the real-time image D according to the interpolation method, the state difference relative to the stored image of the real-time image can be acquired according to the interpolation method, the physical state of the real-time image D can be acquired. The invention changes the disadvantage of the prior art and can transfer the identified result from a certain stored image into an image among the stored images. The precision using the invention can be outstandingly improved compared with the normal volume holographic corelator not using the invention.

Description

technical field [0001] The invention relates to an interpolation technology for volume holographic correlators to improve precision, which can be used for correlation operations, retrieval, matching, etc. of images and data pages, and belongs to the field of optical information processing. Background technique [0002] Optical correlators are usually built based on the Fourier transform properties of lenses. The Vander Lugt optical correlator is a common 4-F lens system (attached figure 1 The schematic diagram of the volume holographic correlator is shown, and the lens system is shown in the appendix figure 1 101 and 103) in the optical correlator constructed. This optical correlator can provide the distribution of cross-correlation functions of two images on the output surface, and has the advantages of high speed and high parallelism. However, this optical correlator is still single-channel in nature, and one input can only complete the correlation operation between two...

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): G11B7/0065G03H1/26
Inventor 倪凯汪顺利瞿宗耀曹良才何庆声金国藩
Owner TSINGHUA UNIV
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