Abstract
AbstractWith the development of electronic technology and computer technology, the application field of medical images will continue to expand, and medical image processing technology will also attract more and more attention. CT images are increasingly used for clinical diagnosis and treatment. The purpose of this work is to study the CT image enhancement system based on swarm intelligence optimization algorithm. Integrate medical image enhancement algorithms based on swarm intelligence optimization algorithms and common medical image processing and analysis algorithms into the medical image processing system to form a powerful and easy-to-use medical image enhancement system. Based on the research of adaptive gray-scale image enhancement technology based on intelligent optimization algorithm, a new target fitness function is proposed, which uses GA, PSO and QPSO to achieve adaptive gray-scale image enhancement. The results show that the suitability value of the QPSO group intelligent optimization algorithm is 9.5241, the robustness is strong, and the enhancement effect is slightly better.KeywordsSwarm intelligence optimizationMedical CTImage enhancementMedical system
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