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Image Feature Recognition Algorithm for Rural Revitalization Product Design based on Visual Attention Model

Image feature recognition algorithm for the rural revitalization product design based on the visual attention model is designed in this research. The magnitude of its saliency is generally represented by an image. In recent year’s research, the visual attention model has been used in various scenarios. Hence, this paper integrates the image data mining, visual attention analysis and feature extraction technologies to construct the novel framework for the visualized design for the product. These noises not only reduce the image quality but also affect the subsequent image processing, so it is particularly important to denoise the image in preprocessing, we use the neural network based denoising model to help build the robust system for the image analysis. The experiment validates and tests the performance and robustness.