Method for detecting and counting major vegetable pests in South China based on machine vision

Abstract

The present invention discloses a method for detecting and counting major vegetable pests in South China based on machine vision, comprising the steps of: the pest image preprocessing step; the pest target segmenting and extracting step; and the pest recognizing and counting step. In detail, the method comprises; through the training of SVM classifiers for different pests, optimizing the pest images after standardization; performing HOG characteristic extraction and description; using the K-Means clustering algorithm for clustering the extracted characteristics; constructing a visual dictionary and then using the SPM generated image's histogram representation; and finally, conducting preliminary classification through the morphological data of the target image; selecting different SVM classifiers, outputting the identification results, and identifying and counting the pests. The method of the invention is based on the image's pest automatic identifying and counting technology, which can realize the rapid identifying and counting of the main pest image data of the South China vegetables so as to assist peasants or the grassroots plant protection personnel to carry out the monitoring work of vegetable pests. To a large extent, their labor intensity is reduced.

Description

technical field [0001] The invention belongs to the field of machine vision, data mining and machine learning, and in particular relates to a method for detecting and counting major pests of southern vegetables based on machine vision. Background technique [0002] Vegetables in my country have become the second largest crop after food crops, and the planting area and total output both rank first in the world. The types and degree of damage of vegetable diseases and insect pests in my country are also among the best among all crops. Vegetable pest monitoring is the basic work of plant protection and even agricultural production. Vegetable safety has become a national economy and people's livelihood issue that affects the health and life safety of the people, and is an overall major issue that affects social stability and healthy economic development. [0003] At present, vegetable pest identification is a method of manual detection. This method requires personnel with stron...

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Problems solved by technology

[0003] At present, vegetable pest identification is a method of manual detection. This method requires personnel with strong professional knowledge to specifically judge pests. It has the disadvantages of low efficiency, small range, and poor real-time performance, and it is difficult to meet the requirements of modern agriculture.

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