OpenCV Implementation of Image Processing Optimization Architecture of Deep Learning Algorithm based on Big Data Processing Technology

Through the in-depth analysis of artificial neural network algorithm technology, particle swarm algorithm technology, and image matching algorithm, the article briefly analyzes the theoretical principle of the algorithm, analyzes the characteristics of the algorithm, and analyzes the application of the algorithm in image processing optimization technology. Using the iterative process of neurons to process image data, after dimensionality reduction, reduction, and white point removal, the optimization of image processing is increased by 7.5%. Using deep learning algorithms to optimize the processing of the drawbacks and difficulties of big data, build an image optimization architecture framework and OpenCV modeling, the results showthat image noise is reduced by 12%.