Image type automatic analysis method for mesh adhesion rice corn

Abstract

The invention discloses an image automatic analysis method for reticulate adhesion rice. The method firstly images rice under the grade of a reference backlight, and enables the reticulate adhesion rice to belong to the different local regions separately through an automatic segmentation. Secondly, the automatic segmentation includes that fat circular rice is carried on a distance transformation and a watershed transformation to be divided, as well as to use a circular template to get the concave angle point of long rice after the long rice is carried out watershed transformation, and the separation line can be determined and the wrong separation line can be removed according to the concave angle point. Different colors is using to color complete polished rice, broken rice and the rice whose length is in the critical region and to color background and chalkiness so as to figure out the grain number, the length, the width and the length to width ratio of each grain, finally, and the entire polished rice rate, the broken rice rate, the chalkiness degree and the chalkiness grain rate, and to form an analysis report. The invention overcomes the problem that the reticulate adhesion rice is difficult to be carried on automated analysis, and removes the limit of the request analysis sample is not in adhesion placing.

Description

technical field [0001] The invention belongs to the field of computer digital image processing, and relates to light source reference luminance analysis technology, image acquisition technology, image enhancement technology, image segmentation technology, binary and grayscale image processing technology, image storage technology, and in particular to a network-like adhesion Image-based automatic analysis method for rice. Background technique [0002] At present, the analysis and grading of rice appearance in my country generally adopts the method stipulated in the national standard GB / T 17891-1999 and is done manually. However, the results of manual analysis usually have considerable individual differences due to differences in age, gender, recognition ability, etc. Even the same person can produce different results with changes in their physical conditions and emotions, and it is difficult to maintain a unified and objective standard , and the limitation of non-adhesive pl...

AI Technical Summary

Problems solved by technology

However, the results of manual analysis usually have considerable individual differences due to differences in age, gender, recognition ability, etc. Even the same person can produce different results with changes in their physical conditions and emotions, and it is difficult to maintain a unified and objective standard , and the limitation of non-adhesive placement of analysis samples makes the workload huge, and it is difficult to meet the needs of rice production, management and sales departments, as well as the rapid analysis and determination of rice appearance quality traits in genetic breeding

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