Application of Gray Level Variation Statistic in Gastroscopic Image Retrieval

Content-based medical image retrieval is getting more and more importance in aspect of clinical assistant diagnose. In this paper a system for gastroscopic image retrieval is developed which is available to support clinical decision making. First a new method based on texture feature is proposed which statistic the gray level variation of each pixel in 3times3 domain. And then Earth moverpsilas distance is used to calculate the dissimilarity. Meanwhile, a method combining both color and texture is proposed to carry out integrate retrieval. Finally, some contrast experiments are designed in the retrieval accuracies, the rank and the execution time. The comparison of the experimental results shows that the approach proposed in this paper is effective.