ABSTRACT
There are no intuitive and unified standards for selecting features in existing protein gel image point matching method, for which an analysis method based on similarity map is proposed. Firstly, the definition and generation methods of similarity map were presented. Secondly, trait and merits of features such as coordinate similarity, shape-context similarity and morphology similarity were analyzed using similarity map method. Finally, comprehensive utilization of multi-features named product-method which has a better effect than mean-method was proposed based on the results. Many experiments using different 2-DE gel images were carried out to prove the validity of similarity map and product-method. The results showed that similarity map could be used for intuitional, effective analysis of matching performance and to guide the selection and comprehensive utilization of multi-features.