With the continuous development of the information age, big data technology has emerged in the context of a large number of information-derived clusters, and the advantages of its application in image processing have become increasingly prominent. This paper takes medical image enhancement technology as the landing point, based on the current situation and development trend of big data technology in image processing applications, analyzes its application principles, compares the effects of different medical image enhancement algorithms, discusses the aspects of big data technology that can be improved such as image transformation, restoration, compression, etc., focuses on the application of medical image enhancement and proposes countermeasures for the application of big data technology in the future, so that researchers can fully exploit the value of big data, promote the application of big data technology especially for image processing, and promote new developments in image processing technology, especially for medical applications.
With the change in people's lifestyles and the popularity of smartphones, more and more people suffer from cervical spondylosis. The change in cervical curvature is closely related to cervical spondylosis. This paper compares the existing cervical curvature measurement techniques and publishes a questionnaire through the network to explore the application of cervical curvature measurement technology in daily life, people's attention to the health of the cervical vertebra, and the willingness to consume related products. The survey results show that the existing cervical curvature measurement technology still need to be improved, people pay more attention to the health of the cervical vertebra and have a strong willingness to consume products such as cervical curvature measuring instruments. Finally, it is concluded that the research on the measurement technology of cervical curvature is of great significance at both the medical level and the health level of the whole people.
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