Research on the Method of Image Recognition Based on Edge Calculation in Landscape Painting

摘要

Landscape painting is a unique art form. Compared with other artistic styles, most of the styles reflected are abstract, subjective, results texturing texture, colour, layout, lines and other high-level semantic features. Landscape painting artistic style feature extracting is presented in this paper, based on the structure of normal distribution parameters on authentic work model. Through the thorough analysis and deep study of traditional landscape painting in the digital based on digital image, it is formed by the in pixel domain through digital description of content and style of landscape painting, and a new algorithm of image analysis is compared. Using machine learning and the input vector for the remaining classification of landscape painting and based on the classification of different content and style, we could get a better identification effect.