Insect image detection method and insect classification method

Abstract

The present invention discloses an insect image detection method and an insect classification method. The method comprises the following steps of: converting frame images in collected video data from colorful images into gray images, and performing partition after performing a difference operation between the gray image and a corresponding modelling background; calculating feature values of image blocks, and normalizing and fusing the feature values; according to an Otsu method, performing adaptive threshold partition on an obtained saliency map with super-pixel precision to obtain a binary image; and generating an image description of the image, performing image matching with each image in a knowledge database, and according to a matching result, determining whether a to-be-classified fruit fly belongs to a known species in the knowledge database. According to the method, automatic identification of insect species is realized by a computer pattern identification technology, and the visual saliency is well combined with phrases, thereby more accurately reflecting a saliency area in a query image and improving identification precision.

Description

technical field [0001] The invention relates to an insect classification method, in particular to an insect image detection method and an insect classification method. Background technique [0002] Genetics is a science that studies the heredity and variation of organisms. It belongs to an important branch of life sciences. Many other branches, such as genetic engineering, are emerging sciences derived from the research of genes based on genetics. Because genes and heredity contain the mysteries of biology itself, they can observe and explain macroscopic biological phenomena from a microscopic perspective. At the same time, the development of genetics may also solve some major problems in human society since ancient times, such as aging and disease. Therefore, people from all walks of life Do not pay attention to the study of genes. [0003] The number of genes in Drosophila is only about one-third of that of humans. However, the genes controlling the development of Drosoph...

AI Technical Summary

Problems solved by technology

The above-mentioned method of selecting unmated female fruit flies is quite labor-intensive. At the same time, the method of judging the characteristics of fruit flies with human eyes is not efficient. In order to accurately select unmated female fruit flies, a large number of fruit flies whose characteristics cannot be determined are often discarded.

[0005] In addition to fruit flies, whether it is to distinguish different types of insects or different characteristics of the same type of insects, it is also necessary to use the human eye to observe the insects under the microscope before making judgments. Therefore, traditional classification methods are labor-intensive and labor-intensive. Time and efficiency issues