期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：27
期号：1
出版社：Journal of Theoretical and Applied
摘要：Machine vision is an area in which all problems related to image analysis are handled in a different outlook. In analyzing biomedical images and other coherent imaging systems one is interested in identifying the part from the whole. This is done usually by adopting different similarity measures like joint entropy. Here a knowledge base is created on which an affine transmission having specific translation and rotation are used to complete the solution to the above problem besides the use of statistical ZKIP (zero knowledge interactive protocol) based on mutual information differences. This method solves the problem with 95% confidence level while compared with earlier techniques.
关键词：Alignment Problem; Affine Transformation; AI and Machine Vision; Joint Entropy
