Method for improving signal-to-noise ratio of multi-camera cross-correlation fusion signal based on the Internet-of-things
A multi-camera and cross-correlation technology is applied in the field of cross-correlation fusion of multi-cameras based on the Internet of Things to improve the signal-to-noise ratio. It can solve problems such as poor reliability, low measurement accuracy, and inability to judge the situation between measurement points, so as to improve SNR, High image resolution, effects that improve performance and efficiency
Inactive Publication Date: 2020-11-10
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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Problems solved by technology
However, the traditional single-camera image signal acquisition has limitations such as low measurement accuracy, poor reliability, and inability to judge the situation between measurement points.
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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0040] see figure 1 , the present invention provides the following technical solutions: a method for improving the signal-to-noise ratio based on the cross-correlation fusion of multiple cameras based on the Internet of Things, comprising the following steps:
[0041] A. Set the IP of the development board and the upper computer PC, so that it can transmit and collect pictures through the network and display them on the upper computer PC;
[004...
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The invention discloses a method for improving a signal-to-noise ratio of a multi-camera cross-correlation fusion signal based on the Internet-of-things, and the method specifically comprises the following steps: preparing a plurality of development boards and cameras, enabling each development board to be connected with one camera, enabling each camera to operate in a linux3.10 environment, and enabling the development boards to carry out the image collection for many times in the same time through the control of the development boards; accumulating and averaging the image signals acquired bythe same camera for a plurality of times, transmitting the processed image data acquired by all development boards to a PC upper computer through a network, calculating the resolution of the image bythe PC upper computer after receiving the image acquired by the multi-point camera, and if the resolution is lower than a certain threshold value, deleting the image; if the resolution of the image meets the requirement, performing cross-correlation processing on the image, filtering part of clutter signals in the transmitted image signals, and the signal-to-noise ratio of the image signals is improved.
Description
technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for improving the signal-to-noise ratio by cross-correlation fusion of multiple cameras based on the Internet of Things. Background technique [0002] Video surveillance includes front-end cameras, transmission cables, and video surveillance platforms. Cameras can be divided into network digital cameras and analog cameras, which can be used as front-end video image signal collection. A complete video surveillance system is composed of 5 parts: camera, transmission, control, display, record and registration. The camera transmits the video image to the control host through the network cable or coaxial video cable, and the control host distributes the video signal to each monitor and recording device, and simultaneously records the voice signal to be transmitted into the video recorder. By controlling the host computer, the operator can issue instructions to con...
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Login to View More IPC IPC(8): H04N7/18H04N5/232H04N5/262G06T5/00G06T5/50G06T3/40
CPCH04N7/181H04N5/2628G06T5/50G06T3/4053G06T2207/10016G06T2207/10024G06T2207/20221G06T2207/20081H04N23/66H04N23/951G06T5/73G06T5/70
Inventor 张君龙
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD