Method for automatically identifying conifer seeds based on wood micrographs

Abstract

The invention discloses a method for automatically identifying conifer seeds based on wood micrographs, belonging to the computer identification technology of micrographs. The method is divided into as a training part and an identifying part, wherein the training part comprises the following specific steps of preparing basic sample materials, preprocessing, extracting PCA characteristics and extracting ICA characteristics; and the identifying part comprises the following specific steps of preparing materials to be identified, preprocessing, projecting and re-constructing images to be identified, and determining tree seed. By adopting the method, the data in the stored conifer cross section micrographic database can be trained, and the tree seeds are identified for the conifer to be identified by a computer similarity matching method. The method has the advantages of no influence from the subjection of an authenticator, high comprehensive capability, high operation efficiency, high speed and higher accuracy rate.

Description

technical field [0001] The invention relates to a computer recognition technology for microscopic images, in particular to an automatic recognition method for the microscopic images of coniferous wood slices. Background technique [0002] The early identification methods of coniferous wood mainly rely on manual experience and knowledge, and gradually identify and identify wood through observation, comparison and analysis according to macroscopic and microscopic characteristics. The split key and punched card key that appeared later allowed people to identify wood with the help of corresponding tools, but manual reference and use of the key was inefficient, and the key was easily damaged. With the emergence of computers, especially the wide application of database technology, people store data such as names of wood species and structural characteristics in computers, creating a computer retrieval system for wood identification. The system has the characteristics of fast info...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, such as the slow identification speed of coniferous tree species, the easily damaged paper materials and retrieval tables, the low comprehensive ability and calculation efficiency, and the large subjective influence of the discriminator, the problem to be solved by the present invention is to provide a A method for automatic identification of coniferous tree species using image matching and comparison based on the biological and statistical characteristics hidden in the microscopic image of coniferous wood by computer