Papers by Author: Hong Bo Zhu

Abstract: Matching feature points is an important step in image registration. For high- dimensional feature vector, the process of matching is very time-consuming, especially matching the vast amount of points. In the premise of ensuring the registration, filtering the candidate vectors to reduce the number of feature vectors, can effectively reduce the time matching the vectors. This paper presents a matching algorithm based on filtering the feature points on their characteristics of the corner feature. The matching method can effectively improve the matching speed, and can guarantee registration accuracy as well.

Abstract: Image processing toolbox of Matlab provides a morphological skeletonization operator. But this function is sensitive to noises. The aliasing shape's skeleton computed by this operator involves many extra branches. In order to eliminate the influence of aliasing noises, a combined method is introduced. The method combines the morphological thinning and skeletonization operators, and takes their advantages. It is not sensitive to noises, and can eliminate the extra branches.

Abstract: A good feature extraction method can improve the performance of pattern recognition system or classification system. Using potential energy theory into binary image feature extraction and feature store is a new method for image processing. The skeleton can be better display the whole features of the object. In target recognition system, using potential energy of skeleton-point projection into the plane coordinate system. The method can be better to show a skeleton in the structural feature. In addition, it can better avoid the matrix storage redundancy. In all energy projection method, potential energy projection is better shown its superiority in the structure information, the time of consumption and the storage space. The skeleton potential energy can be used in target recognition and target classification field and so on.