Specimen-based automatic lepidoptera insect species identification method

A technology of lepidopteran insects and images, applied in the field of automatic identification of lepidopteran insects

Inactive Publication Date: 2012-10-31
INST OF FOREST ECOLOGY ENVIRONMENT & PROTECTION CHINESE ACAD OF FORESTRY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It mainly solves the problem of automatic identification of Lepidoptera insect species by computer pattern recognition technology from insect image samples

Method used

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  • Specimen-based automatic lepidoptera insect species identification method
  • Specimen-based automatic lepidoptera insect species identification method
  • Specimen-based automatic lepidoptera insect species identification method

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0074] 1. Use the matting function module attached to "Light and Shadow Magic Hand" to complete the Figure 1 to Figure 2 The background removal works and sets the background to black.

[0075] 2. Open the overall image file of the lepidopteran target after background removal, and the opened image to be identified is displayed on the upper left of the window.

[0076] 3. Click the [Match] submenu item under the [Operation] menu to start the entire identification matching process. The identification results are displayed on the right side of the window, and the identification result information is output in the order accepted by the classifier, that is, the identified insect name and sample. example image. In general, since there is only one corresponding classifier model for each type of insect in the library, there is only one correct identification output result; when there is a misjudgment result, an image may be accepted by multiple classifiers at the same time, and the o...

example 2

[0079] Use the Lazy Snapping tool to complete from Figure 9 a to Figure 9 The background removal work of b, the method is to mark the foreground area that needs to be preserved with a line of one color, and mark the line of another color in the background area that needs to be removed. The Lazy Snapping algorithm will automatically calculate the foreground and The dividing line between the backgrounds, if the segmentation is not accurate enough, it is repeatedly marked and fine-tuned until the dividing line meets the requirements. Lazy Snapping is an interactive object segmentation algorithm. During operation, the user drags the mouse to mark some lines by holding down the button (the left button displays the foreground, and the right button displays the background). For example, a yellow line marks the foreground and a blue line marks the background. This high-level graphical user interface does not require very precise user input. The segmentation process is triggered b...

example 3

[0082] Complete with the Grabcut tool from Figure 10 a to Figure 10 background removal work for c, Figure 10 The box in a is the small piece of paper in the background when the insect image was collected, Figure 10 The rectangular frame of b is the minimum rectangular frame containing the foreground area manually set, and the background area is set to black after the segmentation is completed.

[0083] The subsequent identification operation is the same as step 2.3 of example 1. The training process is the same as step 4 of example 1.

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Abstract

The invention relates to a specimen-based automatic lepidoptera insect species identification method. The method comprises the following steps: removing background by using LazySnapping and/or GrabCut, segmenting left and right wings by using a projection-based method, and determining critical points by using an edge fitting method and aligning the positions of the left and right wings; carrying out feature extraction in three RGB (Red, Green, Blue) channels, dividing a wing part into a plurality of cells in radius and angle directions, and calculating pixel average values of each cell to construct final feature vectors; and realizing the classification identification by using an SVM (Support Vector Machine) classifier. The lepidoptera insect specimen image identification method is simple and convenient to operate, high in recognition precision and strong in fault tolerance, has ideal time performance, and can be used for obviously improving the lepidoptera insect species identification efficiency.

Description

technical field [0001] The invention relates to a method for automatic identification of insect species based on digital images of specimens, especially for automatic identification of Lepidoptera insects, which can be applied to the fields of plant quarantine, plant disease and insect pest prediction and its prevention and control, or can be used as an important component. It can be used for reference and reference in the study of ecological informatics. This technology can be adopted by customs, plant quarantine departments, agricultural and forestry pest control and other departments. It can provide automatic identification means for grassroots staff or farmers who do not have relevant professional knowledge. Background technique [0002] Lepidoptera (Lepidoptera) is the second largest order in the class Insecta, named for the large number of scales on the body and wings. Lepidoptera larvae are mostly phytophagous and cause great harm to crops. Lepidoptera adults genera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 张真竺乐庆张培毅
Owner INST OF FOREST ECOLOGY ENVIRONMENT & PROTECTION CHINESE ACAD OF FORESTRY
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