An automatic sensing trigger method and system based on barcode edge segmentation
An automatic sensing and edge segmentation technology, which is applied in the direction of sensing record carrier, electromagnetic radiation sensing, image analysis, etc., can solve the problem of not being able to reduce the interference of external ambient light, and achieve the goal of ensuring constant processing accuracy, high resolution accuracy, and improving impact Effect
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Embodiment 1
[0058] see figure 2 , an automatic sensing trigger method based on barcode edge segmentation, comprising the following steps:
[0059] S1: Obtain a frame of barcode image and convert it into YUV color coding mode, such as image 3 Shown, where the value of the Y channel is taken as the gray value of the barcode image.
[0060] YUV is a color encoding method that is often used in various video processing components. YUV takes human perception into account when encoding photos or videos, allowing bandwidth reduction for chroma. "Y" means brightness (Luminance, Luma), "U" and "V" are chroma and density (Chrominance, Chroma). Generally, the images captured by camera equipment are in RGB mode, and RGB to YUV mode can be converted directly through commonly used algorithm templates.
[0061] S2: Calculate the average value of the Y channel values of all pixels as the average gray value g of the barcode image of one frame.
[0062] S3: Calculate the difference between the aver...
Embodiment 2
[0083] An automatic sensing trigger system based on barcode edge segmentation, comprising a camera, a memory and a processor, the camera is used to capture images, the memory stores instructions, and the instructions are adapted to be loaded by the processor and perform the following steps:
[0084] The camera acquires a frame of barcode image and converts it into YUV color coding mode, where the value of the Y channel is taken as the gray value of the barcode image.
[0085] Calculate the average value of the values of the Y channels of all pixels as the average gray value g of the one frame of barcode image.
[0086] Calculate the difference between the average gray value g of the barcode image of one frame and the average gray value g' of the decoded barcode image in the previous frame, and compare it with the first threshold T1, when the difference between the average gray value does not exceed the first When the threshold T1 is reached, no decoding is triggered; when th...
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