Distinguishing method of maturity degrees of tobaccos based on image analysis

Abstract

The invention discloses a distinguishing method of maturity degrees of tobaccos based on image analysis. The distinguishing method comprises the following detailed steps: (1) classifying tobaccos of different maturity degrees through professional staffs; (2) acquiring different maturity degree images of the tobaccos; (3) acquiring tobacco images and performing normalization on the images; (4) performing normalization on the acquired tobacco images by utilizing an image analysis method; (5) extracting values of three components R, G and B of the images; (6) building maturity degree estimation parameters, screening characteristic parameters of existing known colors and a series of self-built characteristic parameters, and screening the all characteristic parameters by utilizing a person relevant analysis method; (7) acquiring an M value from the images, and judging a maturity degree value through contrasting maturity degree grading table; and (8), realizing image reading and maturity degree output through a phone app and computer software.

Description

technical field [0001] The invention relates to a method for judging tobacco maturity, in particular to a method for judging tobacco maturity based on image analysis. Background technique [0002] Maturity refers to the degree of change from physiological and biochemical changes to meet the needs of tobacco technology after the growth and development of tobacco leaves and the accumulation of dry matter. Literally speaking, maturity is the process of tobacco leaves becoming mature. From the law of life, maturity is the degree of change in the process of tobacco leaf growth and aging. From the perspective of physiological and biochemical changes, it is the degree of occurrence of various physiological and biochemical activities after the tobacco leaves grow and complete nutrient accumulation. In terms of chemical composition, it refers to the degree of mutual alternation and transformation of the chemical components of tobacco leaves after nutrient accumulation. At present,...

AI Technical Summary

Problems solved by technology

Judging from the current research status of tobacco leaf maturity detection technology at home and abroad, there is no fast, intuitive and operable technical method in the field. The current problems can be summarized as follows: The visual inspection method is too general and abstract, and there are ambiguity, experience and subjectivity in appearance description in application, and it is difficult to master in actual operation

For the current methods such as chemical analysis and color difference meter, the detection will cause certain damage to the tobacco leaves, and the operation is complicated, the cost is high and the lack of real-time performance

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