Papers by Author: Chao Hong

Abstract: This article is about a green product in the ceramic industry that is not mature in the context of production. we make use of new neural network approach to the accurate classification of general building ceramics, to facilitate the construction of ceramic materials to handle the production line of various ceramic the proportion of environmental factors, so the decision on the most environmentally friendly way of energy production technology. To this end, we have introduced a BP neural network model and parameters proposed the concept of porcelain, porcelain shape parameters from the correlation analysis, discussing the porcelain the determination of parameters. Finally, we create the required network, and it trained until getting the training error of the training requirements.

Abstract: In this paper, a treatment used in medical image processing methods are used, in order to make the patients recover quickly, the key of technology is the use of image processing technology to track the eye center to ensure real-time measurement of wave front aberrations. A multi-scale Canny edge detector is combined with wavelet transform various methods of research, analysis, and the image signal information in the most irregular structure, or by the signal carried by transient phenomena. The dramatic changes in point is usually an important structure in the image Edge, the method aims to select the most suitable instrument for the aberration of the pupil image processing method, image smoothing and edge extraction with the dual effect.