Emotional Semantic Recognition Of Wooden Chromatic Prints With Fuzzy Clustering And SVM

Human beings have rich emotion, good in a variety of ways to express emotions. Human feelings are easily influenced by the external environment.Emotional semantic recognition technology is in the initial stages of development, has aroused keen interest in experts and scholars from all over the world.Now study on object recognition, emotion recognition, clothing emotion semantic recognition,identification of the painter by the style of painting,orchid species identification,etcetera.Image emotion semantic recognition as one of the digital image is important and indispensable.Art, as a spiritual pursuit of human beings, with rich emotion, different styles of painting techniques, influence viewers to the image emotional experience.Since ancient times have prints in Chinese, along with the historical development,the arts creation further, affecting by the foreign art. wood chromatic paintings is an important class of visual art.It is special, the material is different from the ordinary, drawing with a knife.The author’s perception, emotion, brain activity, reduced into line, plane, color, light and shadow.Rich and gaudy colors popular crowd favorite.The study object of this paper is the kind of wood chromatic paintings, with their color, texture as the experimental data.This paper introduces the emotional image influence of human.Firstly, introduction the relationship between image and emotion, between image features and emotional.Description of image features is an important influence factor of human emotion, image emotion semantic recognition need to rely on the the low-level features of the image to achieve.So the first step of image emotional semantic recognition is to extract image features;Secondly, the low-level image features to construct identification model, this process involves fuzzy clustering analysis and support vector machine (SVM) algorithm.Sample data used in experimental study is limited,the process of image emotional semantic recognition is a small sample learning problems.The support vector machine can solve small sample learning problems.Withing fuzzy clustering algorithm,cope well with the same characteristics of image feature but different semantics,and the same semantic but different image features;Finally, to examine the effects of semantic recognition of wood chromatic paintings.