License plate region extraction method and system based on vertical gradient, terminal and readable storage medium
A license plate area and vertical gradient technology, applied in the field of image processing, to achieve the effect of dense edge distribution, accurate and reliable elimination, and strong consistency of visual features
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Embodiment 1
[0070] Embodiments of the present invention provide a license plate area extraction method based on vertical gradient, including the following steps:
[0071] Step 1: Obtain the image I to be identified, and convert the image I to be identified into a grayscale image GI and calculate the vertical gradient to obtain a gradient image.
[0072] In this embodiment, the image 1 to be identified is not limited to the source of image i to be identified as the image i to be identified as the image i to be identified. As 1 shown in 1 is a high-definition capture picture of 2160 * 4096, including a license plate from far more than a distance, including new energy license plates. The Sobel Operator Gx is used to convolute the grayscale image GI in the horizontal direction, obtain the gradient image Gx represented by the vertical gradient of the image I, as follows:
[0073]
[0074] Symbol "*" represents the convolution. As shown in 2 as a gradient image, where the vertical edge is very ob...
Embodiment 2
[0111] In the manner of the description of the first embodiment, the vertical gradient is calculated to obtain a gradient image after the gradient image and in step 2, based on the gradient image search gradient concentration region as a candidate area of the license plate, execute: excluding the gradient The vertical edge in the image is specifically as follows:
[0112] Step 1: The gradient image is divided into zone; where the dimension of the grayscale image Gi is assumed to be M × N, that is, the height is m, the width is n. The Gi is uniformly divided into WDC × HTC non-overlapping area. The specific division value is an empirical value based on the characteristics of the capture image. Taking the image of 2160 × 4096 as an example, the image can be divided into 8 x 8 non-overlapping regions, and the dimension of each region is 270 × 512.
[0113] STEP 2: The vertical gradient of each region exceeds the pixel point and its number gcount, which calculates the gradient mean ...
Embodiment 3
[0118] In the manner of the description of the first embodiment, the vertical gradient is calculated to obtain a gradient image after the gradient image and in step 2, based on the gradient image search gradient concentration region as a candidate area of the license plate, execute: excluding the gradient The image is too long and the excessive vertical edge, the specific:
[0119] S1: The continuous edge is calibrated based on the gradient image. Among them, a continuous edge is calibrated according to the gradient image GX, and the standard can be calibrated using an 8 neighborhood.
[0120] S2: If the length of the continuous edge is greater than the excessive edge point threshold Tlong or less than the threshold Tshort of the excess short edge, all the pixels on the continuous edge do not belong to the license plate area, which belongs to the excessive vertical edge or over Short vertical edges and eliminate excessive vertical edges or excessive vertical edges;
[0121] Amon...
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