Image identification-based round log counting method
A counting method and image recognition technology, applied in the field of image processing, can solve the problems of high requirements for image shooting and large interference factors, and achieve the effect of reducing the requirements of image quality, high accuracy, good adaptability and reliability
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[0053] Step 1. Preprocessing the captured image of the log to obtain a normalized image of the detection area. The image preprocessing includes: image interception, image grayscale, image scaling, and median filtering.
[0054] (1) The image input is generally an image in RGB format.
[0055] (2) Image interception adopts manual interception method, and intercepts the effective area containing logs.
[0056] (3) The grayscale conversion formula is Gray=(306*R+601*G+117*B)>>10, the grayscaled image is as follows figure 2 shown;
[0057] (4) Image scaling adopts proportional scaling by default, and scales the width of the image to 500.
[0058] (5) Median filtering is performed on the transformed image to filter out noise interference.
[0059] Step 2, calculate the appropriate threshold, segment the background area, and obtain the area where the log is located; the method of calculating the threshold is: first, count the histogram of the gray image of the log, and calculate...
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