veterinary B-ultrasound images play an inestimable and important role in animal management. However, with the increase in the number and size of veterinary B-ultrasound images, it is increasingly necessary to use computers to store, process and analyze these veterinary B-ultrasound images. In practical terms, the improvement of the current domestic veterinary B-ultrasound instrument has been achieved, and the functions of veterinary B-ultrasound images from collection, storage to management have been completed, so that veterinarians can search for veterinary B-ultrasound images of past diseases of the examined animals. At the same time, due to the use of computer image processing technology to process the images, the veterinary B-ultrasound images, which were originally the worst quality in veterinary B-ultrasound images, have also become clear, which has played a certain auxiliary role in veterinary diagnosis of diseases. In theoretical terms, due to the inherent speckle noise, low signal-to-noise ratio, and poor image clarity of domestic veterinary B-ultrasound images, the analysis and processing of veterinary B-ultrasound images has become extremely difficult. Theoretically, the computer image processing technology of veterinary B-ultrasound images is analyzed and discussed, which provides certain theoretical reference value for the next step of veterinary B-ultrasound image segmentation and image retrieval.

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

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