Microalgae image classification method, system and device and storage medium
A microalgae and classification method technology, applied in biological neural network models, instruments, calculations, etc., can solve the problem that the accuracy of microalgae graphic classification cannot meet the requirements
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Embodiment 1
[0030] Embodiment 1, this embodiment provides a microalgae image classification method;
[0031] Microalgae image classification methods, including:
[0032] Extracting contour images from images of microalgae to be classified;
[0033] Extract texture images from microalgae images to be classified;
[0034] The contour image and texture image of the microalgae image to be classified are respectively input into the two input terminals of the pre-trained dual-channel convolutional neural network model, and the classification result of the microalgae image is output.
[0035] As one or more embodiments, the specific step of extracting the contour image of the microalgae image to be classified includes: using the Sobel edge detection algorithm to extract the edge of the microalgae image to be classified; and then performing an expansion operation on the image after the edge extraction , to obtain the contour image of the microalgae image to be classified.
[0036] As one or mo...
Embodiment 2
[0096] Embodiment 2, this embodiment provides a microalgae image classification system;
[0097] Image classification system for microalgae, including:
[0098] An outline image extraction module configured to extract an outline image from the microalgae image to be classified;
[0099] A texture image extraction module configured to extract texture images from microalgae images to be classified;
[0100] The classification module is configured to input the outline image and the texture image of the microalgae image to be classified into the two input ends of the pre-trained dual-channel convolutional neural network model, and output the classification result of the microalgae image.
Embodiment 3
[0101] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, each step in the method is completed. For the sake of brevity, the operation will not be repeated here.
[0102] Described electronic device can be mobile terminal and non-mobile terminal, and non-mobile terminal comprises desktop computer, and mobile terminal comprises smart phone (Smart Phone, such as Android mobile phone, IOS mobile phone etc.), smart glasses, smart watch, smart bracelet, tablet computer , laptops, personal digital assistants and other mobile Internet devices that can communicate wirelessly.
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