Nowadays, veterinary B-ultrasound medical images play an inestimable and important role in medical diagnosis. However, with the increase in the number and size of medical images, it is increasingly necessary to use computers to store, process and analyze these images. In practical terms, this system has realized the improvement of the current domestic veterinary B-ultrasound instrument, and has completed the functions of veterinary B-ultrasound images from acquisition, storage to management, so that veterinarians can search for veterinary B-ultrasound images of past diseases of sick 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 of the worst quality in veterinary imaging 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, poor image clarity and other shortcomings of veterinary B-ultrasound images themselves, the analysis and processing of veterinary B-ultrasound images has become extremely difficult. The computer image processing technology of veterinary B-ultrasound images has been analyzed and discussed theoretically, which provides certain theoretical reference value for the next step of 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 large veterinary 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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