Rice seedling and seedling stage weed image semantic segmentation method, system and device and medium
A semantic segmentation and seedling technology, applied in the field of image processing and deep learning, can solve the problems of weak robustness and long training time, and achieve the effect of ensuring accuracy and integrity and good segmentation effect.
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Embodiment 1
[0067] Such as figure 1 As shown, the present embodiment provides a method for semantic segmentation of images of rice seedlings and seedling weeds, the method comprising the following steps:
[0068] S1. Acquiring color sample images of rice seedlings and seedling weeds.
[0069] This embodiment first obtains the color sample image (i.e. RGB sample image) of rice seedlings and weeds at the seedling stage, which can be obtained by collecting, for example, taking a color sample image of rice seedlings and weeds at the seedling stage under natural conditions, or It can be searched and obtained from the database, for example, the color sample images of rice seedlings and seedling weeds are stored in the database in advance, and the color sample images of rice seedlings and seedling weeds can be obtained by searching the database.
[0070] S2. Generate a label sample image corresponding to the color sample image; wherein, the label sample image has labels of pixel types correspon...
Embodiment 2
[0114] Such as Figure 7 As shown, the present embodiment provides a semantic segmentation system for rice seedlings and seedling weed images, the system includes an acquisition module, a generation module, a sample division module, a data set formation module, a construction module and a semantic segmentation module, each module The specific functions are as follows:
[0115] The acquisition module is used to acquire color sample images of rice seedlings and weeds at seedling stage.
[0116] The generation module is used to generate a label sample image corresponding to the color sample image; wherein, the label sample image has labels of pixel types corresponding to rice seedlings, seedling weeds and background.
[0117] The sample division module is used to divide the color sample images and their corresponding label sample images into training samples and test samples.
[0118] The data set forming module is used to perform preprocessing and data amplification on all sam...
Embodiment 3
[0132] This embodiment provides a computer device, which can be a computer, such as Figure 9 As shown, it includes a processor, memory, input device, display, and network interface connected by a system bus. Among them, the processor is used to provide computing and control capabilities, and the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database, and the internal memory is a non-volatile storage medium. Operating system and computer program in the operation provide environment, when computer program is executed by processor, realize the rice seedling of above-mentioned embodiment 1 and seedling stage weed image semantic segmentation method, as follows:
[0133] Obtain color sample images of rice seedlings and seedling weeds;
[0134] Generate a label sample image corresponding to the color sample image; wherein, the label sample image has a pixel type label corres...
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