前言:
针对PatMax 的高级应用和原理,在这一节继续进行说明:这一节主要考虑的是PatMax模板匹配的原理:如何控制模板的匹配。
本节先介绍了几个模板匹配的衡量标准,比如模板匹配分数,和模板的几种模板匹配的结果。
Score 分数:
For each instance of the trained pattern that PatMax finds in the run-time image, it computes a score value between 0.0 and 1.0. The score an instance receives indicates how closely it matches the trained pattern. A score of 1.0 indicates a perfect match; a score of 0.0 indicates that the pattern does not match at all.
When you specify the PatMax algorithm, PatMax scores instances on both the closeness of pattern fit (the degree to which the shape of the features in the run-time image conforms to the shape of the features in the trained pattern) and the p