Self-adaptive Window Extension Strategies of Discontinuity Features for MVLL Algorithm

Matching line of MVLL algorithm was investigated for line-array CCD images,and it can be concluded that the matching line was the line between top feature and its corresponding bottom feature and can be regarded as a straight line.For MVLL algorithms,the difficulties of discontinuity feature that usually matched to the bottom were analyzed,and the algorithm of self-adaptive adjustment of correlation parameters was improved.After the process of self-adaptive window extension algorithm was given.The matching experiments were done on discontinuity features using two ADS40 line-array image datasets.The results show that,after applying the self-adaptive window extension algorithm,discontinuity features could be successfully matched and the self-adaptive function of MVLL algorithm was thus enhanced.