Focusing on blob features that usually appear in images

we developed a method for detecting their positions and size automatically. The main work includes: 1) An extreme energy function for detecting blob features

which is constructed based on the gradient distribution of blob features;2) A theoretical analysis made on the property of extreme energy function

and then an intuitive analysis of its extreme property is made based on simulated images; 3) The implementation of the algorithm for detecting positions and sizes of blob features is proposed; 4) Experiment results showing that the method proposed in this paper can effectively and exactly detects positions and sizes of blob features in images

and the method performs stable and robust under noise

image blur

and viewpoint changes.