Veterinary ultrasound images play an immeasurable role in animal management, but with the increasing number and size of veterinary ultrasound images, it is increasingly necessary to use computers to store, process, and analyze these images. In practical terms, improvements have been made to the current domestic veterinary ultrasound equipment, which has completed the functions of collecting, storing, and managing veterinary ultrasound images. This allows veterinarians to search for veterinary ultrasound images of past diseases in the examined animals. At the same time, the use of computer image processing technology to process the images has made the previously poor quality veterinary ultrasound images clearer, which has played a certain auxiliary role in veterinary diagnosis of diseases; In theory, due to the inherent drawbacks of speckle noise, low signal-to-noise ratio, and poor image clarity in domestic veterinary ultrasound images, the analysis and processing of veterinary ultrasound images have become extremely difficult. In theory, the analysis and exploration of computer image processing techniques for veterinary ultrasound images provide certain theoretical reference value for the next step of veterinary ultrasound image segmentation, image retrieval, and other work

Veterinary B-ultrasound BXL-DB20

At present, the acquisition of veterinary ultrasound imaging systems and the application of general image processing techniques have appeared in the market. How to better apply computer image processing technology to veterinary ultrasound images has become an important research topic for professionals. Among them, content-based image retrieval technology for veterinary ultrasound image databases, compression of veterinary ultrasound images to adapt to network transmission, and three-dimensional reconstruction of two-dimensional veterinary ultrasound images to display lesions more clearly are the main research trends in the future

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