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Maximum neighbor low-light detection method based on FPGA

A detection method and low-light technology, applied in the field of image processing, to achieve the effect of reducing processing lag, high real-time processing capability, and reducing development difficulty

Inactive Publication Date: 2022-01-11
南京威翔科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an FPGA-based method for most neighbor low-light detection, which solves the technical problem of detecting neighbor low-light by using multiple neighborhood search processing methods

Method used

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  • Maximum neighbor low-light detection method based on FPGA
  • Maximum neighbor low-light detection method based on FPGA
  • Maximum neighbor low-light detection method based on FPGA

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0040] Depend on Figure 1-Figure 3 Shown a kind of FPGA-based most neighbor low-light detection method, comprises the following steps:

[0041] Step 1: Establish the video stream data acquisition module, video stream data preprocessing module and bright spot processing module, the video stream data acquisition module and the video stream data preprocessing module communicate with each other, the video stream data preprocessing module and the bright spot processing module communicate with each other.

[0042] The video stream data collection module collects video stream data and sends it to the video stream data preprocessing module for preprocessing.

[0043] Such as figure 1 Shown is the algorithm implementation flowchart of the present invention, and the explanation of various variable nouns wherein is as shown in table 1:

[0044]

[0045] Table 1

[0046] Step 2: The preprocessing of the video stream data by the video stream data preprocessing module includes perfo...

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PUM

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Abstract

The invention discloses a maximum neighbor low-light detection method based on an FPGA, which belongs to the technical field of image processing, comprises the steps of establishing a video stream data acquisition module, a video stream data preprocessing module and a hot spot processing module, and solves the technical problem that neighbor low-light is detected by adopting a processing mode of multiple neighborhood search. According to the scheme, in the engineering practical application process, few FPGA hardware resources are occupied, and the real-time processing capacity is high; meanwhile, processing delay is reduced, and combination with other modules is facilitated. According to the method, the algorithm of most adjacent low-light detection is subjected to step-by-step modular processing, so that each step is relatively independent, and the calculation complexity is simplified. Furthermore, the design mode of FPGA high-level synthesis and C language development is adopted, so that the development difficulty is greatly reduced, the development progress is accelerated, two-stage search is carried out on the time domain, hot spot coordinates are averaged, noise interference of a low-light target is reduced, and the detection precision is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an FPGA-based maximum-neighbor low-light detection method. Background technique [0002] Low light is a faint bright spot formed by the target at a long distance. It is a small isolated point on the grayscale image. Noise interference, especially in the urban environment, is more obvious, which brings great difficulties to target detection and tracking. [0003] Low-light detection generally requires image filtering, image segmentation, and target detection. The low-light background is a large-area gently changing scene, which is in the low-frequency part of the image; relatively speaking, the low-light is in the high-frequency part. Image filtering processing to suppress the background and some noise is an indispensable step for subsequent detection. The output of image segmentation is a binary result, which is used to extract the target, 0 represents the ...

Claims

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Application Information

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IPC IPC(8): G01J1/42G06T7/62G06T7/73
CPCG01J1/42G06T7/62G06T7/73
Inventor 吴中陈尔康
Owner 南京威翔科技有限公司