对用于目标识别技术的形态学击中击不中变换进行了分析, 引入不确定点和模式的概念使得容易受到畸变干扰的像素点对判别结果的作用降低, 得到联合排序多值击中击不中变换, 从而在不损失图像信息的前提下, 提高了目标识别的抗畸变能力, 并且具有在输入图像和参考模板之间进行精确匹配的能力。 基于非相干光相关器, 利用新颖的多值互补编码方法, 实现了二值图像的联合排序多值击中击不中变换, 达到了较好的实验结果。

The concepts of uncertain pixel and pattern are used to improve the distortion-invariant ability of morphological hit-or-miss transformation (HMT). A method called joint rank-order multi-value hit-or-miss transformation (JRMVHMT) is introduced, which reduces the decision effect of the pixels that is easily disturbed by rotation and scaling distortion. Because of not losing information of the input images, JRMVHMT can realize the precision recognition between two images and has a better distortion-invariant ability for scaling and rotation than the ordinary HMT. The comparison of JRMVHMT with the ordinary HMT in theoretic analysis and experiments is given. Based on an incoherent correlator and multil-value complementary encoding, JRMVHMT is realized for binary image recognition and gets satisfying results.