Container special-purpose lead seal number image identification method
An image recognition and container technology, applied in the field of image recognition, can solve the problems of low efficiency and low recognition accuracy, and achieve the effects of high efficiency, improved image color brightness, and improved display effect.
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Embodiment 1
[0022] Embodiment 1, with reference to figure 1 A method for image recognition of special lead seals for containers, comprising the following steps:
[0023] Convert the acquired original image from RGB color space to LCH color space;
[0024] Extract the brightness information of each pixel of the original image in the LCH color space;
[0025] Extract the chroma information of each pixel of the original image in the LCH color space for chroma compensation, for example, extract the color saturation in the chroma information for color saturation compensation, and the color saturation compensation of the original image is mainly determined by the ambient light intensity It is determined that the ambient light intensity can be obtained in real time by devices such as light sensors or light probes; when the ambient light is strong, the original image displayed after chromaticity compensation will be enhanced and become more vivid, and the hue H will remain unchanged;
[0026] D...
Embodiment 2
[0034] Embodiment 2, with reference to figure 1 A method for image recognition of special lead seals for containers, comprising the following steps:
[0035] Convert the acquired original image from RGB color space to LCH color space;
[0036] Extract the brightness information of each pixel of the original image in the LCH color space, and perform mapping processing on the brightness information to improve the overall contrast of the image. The specific mapping processing method is: perform global nonlinear mapping on the brightness information to make the image low gray The contrast of the interval is significantly improved, and the details of the dark tone are smoothly expanded;
[0037] Extract the chroma information of each pixel of the original image in the LCH color space for chroma compensation, for example, extract the color saturation in the chroma information for color saturation compensation, and the color saturation compensation of the original image is mainly de...
Embodiment 3
[0046] Embodiment 3, with reference to figure 1 , compared with Embodiment 2, the difference is that: the specific mapping processing method is: divide the brightness information of the image into a low-frequency part base layer and a high-frequency part detail layer, and then perform global mapping processing on the base layer, using the method of preserving image brightness perception difference mapping algorithm.
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