Grain plays an important role in agricultural production. The main method for increasing grain yield and quality is inseparable from breeding. Counting seeds is an indispensable part of the breeding process. At present, the seed counting method usually uses manual counting or seed intelligent counting system. Obviously, the traditional counting method has disadvantages such as low efficiency and low accuracy. The use of computer image recognition and processing technology to achieve counting in the test process, to lay the necessary theoretical and practical foundation for the further study of grain grain identification, selection, classification, etc., and to provide an efficient, fast grain for the breeding work Counting new technology. Add Wechat to give you more professional information: Transmission Line Steel Tubular Tower Our steel poles are made from quality sheet through bending,
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In the process of acquiring an image, due to various factors, the obtained image will always be infected with some noise information more or less, and these noise information will deteriorate the quality of the image, so denoising processing is required. There are many ways to denoise, roughly divided into two categories: one is the time domain denoising, and the other is the frequency domain denoising. The denoising methods in the time domain include weighted smoothing, median filtering, and binary morphological methods. The denoising methods in the frequency domain include classical digital filters, homomorphic filters, and wavelet analysis. This paper adopts the median filtering method in time domain denoising, which has the function of suppressing interference pulses and point noise, and can maintain a good image edge. It refers to all pixels in a small window centered on a certain point. The gray scales are arranged in ascending order, with the median value as the grayscale value at that point.
The application of the seed intelligent counting system can achieve 100% accuracy when the grain is not laminated. This not only reduces the labor intensity of people, but also makes up for the insufficiency of human vision, and greatly improves the efficiency and accuracy. It avoids the cumbersome programming procedures of other software and lays a foundation for further research. 