An intelligent identification system and identification method for germ completeness of germ rice

Abstract

The invention discloses an intelligent identification system and an identification method for germ completeness of germ rice. Germ rice image acquisition module uses timer timing to complete the timing capture and storage of germ rice images from the video stream in the digital camera; germ rice image preprocessing module uses morphological operations to remove the background of germ rice images, Gaussian filter removal Gaussian noise, median filter to remove the salt and pepper noise of the image, and finally use the watershed algorithm to complete the segmentation of the germ rice image, and binarize to obtain a binary image; the germ feature extraction module of the germ rice image uses morphological opening operation with large structural elements to process the binary image Processing, indirect extraction of germ features, to obtain a feature image; germ rice germ integrity calculation module, based on the feature image to accurately calculate the germ integrity of germ rice, and data calculation results. The invention adopts the morphological operation to complete the feature extraction of the germ feature of the germ rice, thereby improving the accuracy.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to an intelligent recognition system and a recognition method for germ integrity of germ rice. Background technique [0002] With the continuous development of control theory, various complex intelligent algorithms continue to emerge. At present, the detection of germ integrity and germ retention rate of germ rice still relies on human eye observation, which is affected by various factors such as vision and eye fatigue, and is affected by subjective consciousness. Influence, there is no quantitative standard for detection, and the detection results are not accurate and objective. With the improvement of the level of agricultural automation, in the production of germ rice, it is required to carry out real-time, rapid and accurate detection of the degree of germ retention (that is, the integrity of the germ) of germ rice, and a new and efficient germ detection method is pr...

AI Technical Summary

Problems solved by technology

Although this method can be identified, the residual bran on the endosperm affects the accuracy of image recognition, resulting in the inability to further improve the detection accuracy

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