Color identification of complex objects based on the Bayes classification

With the rapid development of information technology, the concept of big data is used in information collection on different things, especially for the image data. In the image processing field, the identification and classification methods are complex. In this paper, we analyzed the mathematical model of color spaces, convert ordinary human perception of color to a value which is easy to classify firstly and the used KNN classification method. For the simple KNN classification method is established, in order to improve the classifying complex objects in image processing efficiency, optimization of Bayes classification algorithm is established. The experiments' results show that the optimal Bayes classification algorithm to identify has higher efficiency than the simple KNN classification method.