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Photoelectric hybrid image identification system

An image recognition, photoelectric hybrid technology, applied in the field of image recognition, can solve the problems of poor recognition efficiency and accuracy, achieve fast and accurate, solve the problem of poor recognition efficiency and accuracy, and achieve technical effects

Inactive Publication Date: 2017-01-04
CHENGDU LIANZHONGZHI TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The invention provides a photoelectric hybrid image recognition system, which solves the technical problem of poor recognition efficiency and accuracy in the existing photoelectric hybrid image recognition system, realizes fast and accurate recognition of distortion-invariant patterns, and realizes The technical effect of the system's intelligence and networking

Method used

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  • Photoelectric hybrid image identification system

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Embodiment 1

[0021] In Example 1, please refer to figure 1 , providing a photoelectric hybrid image recognition system, said system comprising:

[0022] A target image acquisition and processing module, the target image acquisition and processing module is used to acquire target images, and perform preprocessing and distortion processing on the target images;

[0023] A photoelectric correlation joint transformation module, the photoelectric correlation joint transformation module is used to form the joint image Fourier spectrum after the joint image is irradiated by the laser beam; and obtain the center spectrum;

[0024] An automatic identification module, the automatic identification module is used to complete the amplitude modulation of the image spectrum and the inverse Fourier transform processing to obtain the required correlation results.

[0025] Wherein, the target image acquisition and processing module specifically includes: a first camera, a DSP processor, and an FPGA module,...

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Abstract

The invention discloses a photoelectric hybrid image identification system. The system comprises a target image acquisition and processing module, a photoelectric correlation combined transformation module and an automatic identification module. The target image acquisition and processing module is used for acquiring a target image and carrying out preprocessing and distortion processing on the target image. The photoelectric correlation combined transformation module is used for forming combined image Fourier frequency spectrum after combined images are subjected to irradiation of laser beams, and obtaining a central frequency spectrum. The automatic identification module is used for finishing amplitude modulation of image frequency spectrums and processing of inverse Fourier transform so as to obtain required related results. According to the invention, rapid and correct identification of distortion invariant modes is achieved and the technical effect of achieving an intelligent and networked system is achieved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a photoelectric hybrid image recognition system. Background technique [0002] Photoelectric hybrid pattern recognition has become an important way to realize practical and real-time pattern recognition due to its advantages of high-speed parallel processing and no crosstalk. Research and application, and achieved good recognition results. [0003] However, in practical applications, the target image to be recognized needs to undergo operations such as image preprocessing and distortion processing. The existing systems have problems of low efficiency and low accuracy in distortion-invariant pattern recognition during recognition, and the system's intelligence Poor and poor networking. [0004] To sum up, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-m...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/147G06F18/22G06F18/25
Inventor 潘帆
Owner CHENGDU LIANZHONGZHI TECH CO LTD
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