The working process of the veterinary B-ultrasound medical digital image processing system generally includes:

 1. The veterinary B-ultrasound image input device converts an image into a digital signal suitable for computer processing and inputs it into the computer.

 2. Various algorithms are used to perform various transformations and processing operations on the digital veterinary B-ultrasound images for the original image and the veterinary B-ultrasound image parameters that need to be improved to achieve the expected processing results.

 3. The storage of veterinary B-ultrasound image data files is realized to meet the needs of future calls. 4. The output of processed veterinary B-ultrasound images is realized.

Compared with the original veterinary B-ultrasound images, most of the information will be lost in the series of processes of veterinary B-ultrasound image conversion, input, processing, and output. The information loss of an excellent veterinary B-ultrasound image processing system must be kept within a tolerable range. The significance and importance of veterinary B-ultrasound image processing lies in that after the veterinary B-ultrasound images are processed, their results are more suitable for the visual characteristics of the human eye or the analysis and recognition of instruments for a specific application than the original veterinary B-ultrasound images. This is the theoretical basis for highlighting certain required information, weakening or removing certain unnecessary information, improving the signal-to-noise ratio, and improving the quality of veterinary B-ultrasound images.

Veterinary B-ultrasound

To understand medical veterinary B-ultrasound images, we need to perceive and identify them with the naked eye based on a series of features such as image grayscale, edge contour, texture features, and shape features on the basis of a certain image quality. Since it is necessary to observe with the naked eye, and the detection capability that can be achieved by visual detection is often far from the detection capability of the image (determined by the imaging system), the subjective evaluation of the quality of veterinary B-ultrasound images does not represent the quality of the actual image. In theory, as long as the image has a certain detection capability, which cannot be reflected under intuitive visual detection, after a certain method of image processing, an image with improved quality under visual detection can often be obtained.

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