A seal detection method and system
A detection method and seal technology, which are applied in image data processing, instruments, calculations, etc., can solve the problems of large influence of the final result, poor stability, and no identification of the shape of the seal, so as to reduce interference, improve accuracy, reduce effect of noise
Active Publication Date: 2016-12-28
FOUNDER INTERNATIONAL CO LTD +1
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Problems solved by technology
[0003] The extraction of the specified color area is completed by the tolerance method, which is easily affected by lighting and other conditions, and the stability is poor, and the setting of the tolerance has a great impact on the final result, which is not conducive to the accurate judgment of the seal area.
However, the Hough transform is mostly used to complete the detection of straight lines, so that most of the existing technologies can only complete the detection and extraction of quadrilateral seals, and cannot complete the extraction of seals of other shapes.
That is to say, the above method can only complete the seal extraction of the specified shape, and does not have the discrimination of the shape of the seal.
Method used
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[0098] image 3 It is the image to be detected in this embodiment, wherein the "accessory" area is the seal area to be detected, and the color of the seal to be detected in this embodiment is red (roughly specified color). In this embodiment, in order to better illustrate the image, a frame is added to the image to be detected, but the frame does not exist in actual detection.
[0099] Firstly, the image to be detected is quantized by hue, and the quantized image is obtained as Figure 4 shown. Then, according to the stamp color, the quantized image to be detected is roughly positioned to obtain the roughly positioned stamp area, that is, the pixel value on the quantization level corresponding to the stamp color is set to 1, and the pixel value on other quantization levels is set to 0. Get a binary image, such as Figure 5 As shown, the region where the pixel value is set to 1 in the binary image is the coarse positioning stamp region.
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The invention discloses a seal detecting method and system. According to the method and system, firstly, the color of a seal needing to be detected in an image to be detected is assigned, and hue quantifying processing is performed on the image to be detected; then, according to the color of the seal, coarse positioning is performed on the quantified image to be detected, and a coarse positioning seal area is obtained; clustering is performed on the coarse positioning seal area, so that a plurality of clustered areas are obtained; finally, shapes of the clustered areas are detected, the shape of the seal is judged out, and the seal is accurately positioned. The method and system can effectively reduce interference of outer environment such as illumination on detection of the seal, can also reduce the noise effect, judge out the shape of the seal and effectively improve the accuracy of detection of the seal.
Description
technical field [0001] The invention relates to the technical field of seal detection, in particular to a method and system for detecting a seal in an image. Background technique [0002] For the detection of the seal, in the prior art, usually by specifying the color of the seal, using a tolerance to judge the area of the seal, and finally using the Hough transform to complete the extraction of the seal. The tolerance method extracts the stamp area, that is, first specifies the reference color of the stamp, and then completes the judgment of the stamp area by setting the tolerance range, that is, if the difference between a certain color and the reference color is within the tolerance range, it is considered This color is the stamp color. After the judgment of the seal area is completed, the extraction of the seal is completed through the Hough transform. [0003] Using the tolerance method to complete the extraction of the specified color area is easily affected by lig...
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IPC IPC(8): G06T7/40G06T7/60
Inventor 杨镜
Owner FOUNDER INTERNATIONAL CO LTD