A Background Separation Method Based on Gray Image Overflow
A separation method and gray-scale image technology, applied in the field of image recognition, can solve the problem that the segmentation boundary is not easy to determine, and achieve the effects of easy determination, easy separation of thresholds, and removal of background interference factors.
Active Publication Date: 2021-10-26
CASHWAY FINTECH CO LTD
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[0005] The purpose of the present invention is to provide a background separation method based on the overflow of the grayscale image for the technical defects in the prior art, and to extract characters for the situation of double backgrounds and difficult determination of segmentation boundaries
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[0020] The present invention will be further described below with reference to the accompanying drawings and specific examples. It is to be understood that the specific embodiments described herein are intended to explain the present invention and is not intended to limit the invention.
[0021] This solution is for two cases: 1. The background and prospects are very close; the prospect refers to a string of numbers (characters), the background is a gray area and white area. 2, strong double background; double background refers to the background of two grayscale distinctive distinction (gray areas and white areas). Such a background will have a significant boundary in their boundaries, and this boundary will have a big impact on the extraction of the foreground, such as the location of this boundary appears in different positions of characters, or cause certain characters and other characters. Confusion, generate an error. This solution is to overflow the gray area of the backgr...
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The invention discloses a background separation method based on the overflow of a grayscale image, which includes the following steps: Step 1: Perform overflow processing on the original image, and the pixel value obtained by overflow calculation is greater than 255, which is recorded as 255, and the overflow processed image is obtained; Step 2: Calculate the gray histogram and mean value of the overflow processing image, and calculate the separation threshold, which is an arbitrary value in the middle of the highest value of the gray histogram on both sides of the mean value; step 3: divide the pixels in the overflow processing image whose pixel value is less than the separation threshold Click to shrink in the same proportion, restore to the pixel value of the original image, and the pixels in the overflow processing image whose pixel value is greater than or equal to the separation threshold remain unchanged, and the restored image is obtained; Step 4: Calculate the grayscale histogram and mean value of the restored image, Calculate the new separation threshold according to the method in step 2, shrink the pixel value smaller than the new separation threshold; enlarge the pixel value greater than the new separation threshold, and obtain the final foreground and background separated image.
Description
Technical field [0001] The present invention belongs to the field of image recognition, and more particularly to a background separation method of a gradation overflow. Background technique [0002] In the process of transmitting in the device, the image will be acquired multiple times, and the identification process is used. In most cases, the entire image of the paper money is collected, and then the method of extracting the physical coordinate positioning is extracted, and the banknotes are used to use the interested area. , Currency, etc., in the field of image processing, the region of interest is a image area selected from the image, which is the focus of image analysis, and the area is set to carry out further processing. The cut is not accurate in comparative problems in the process of the image segmentation of banknotes. It is necessary to separate the foreground and background of the region of interest. Light background situation is small for character extraction; in de...
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IPC IPC(8): G06K9/38G06K9/46G06T7/11G06T7/136G06T7/194
CPCG06T7/11G06T7/136G06T7/194G06T2207/10004G06V10/28G06V10/507
Inventor 刘贯伟郝晨张云峰滕飞江浩然
Owner CASHWAY FINTECH CO LTD